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  <doc>
    <id>3540</id>
    <completedYear>2023</completedYear>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>117</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <articleNumber/>
    <type>masterthesis</type>
    <publisherName/>
    <publisherPlace>Ingolstadt</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2023-04-18</completedDate>
    <publishedDate>2022-09-09</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">Numerische Untersuchungen des kapillaren Aufstiegs und der Validität des Berechnungsverfahrens mit interFoam</title>
    <abstract language="deu">Diese Arbeit liefert einen Beitrag zur Beschreibung des kapillaren Aufstiegs zwischen zwei parallelen Platten und innerhalb eines kreisrunden zylindrischen Rohrs mit Methoden aus dem Bereich der numerischen Strömungsmechanik. Dabei wird mit dem Gleichungslöser interFoam aus dem Softwarepaket OpenFOAM gearbeitet und verschiedene Studien vorgestellt. Zunächst werden die Grundlagen aus dem Bereich der Strömungsmechanik und der Strömungssimulation erklärt, bevor einige Ergebnisse aus der Literatur analysiert werden. Daraufhin werden eigene Resultate aus unterschiedlichen numerischen Untersuchungen gezeigt, wobei keine endgültige Netzunabhängigkeit erreicht wird.&#13;
Wichtig ist die Erkenntnis, dass der Kompressionsfaktor aus dem MULES-Algorithmus für eine korrekte Abbildung des kapillaren Aufstiegs null sein muss, da ansonsten die Phasengrenzfläche komprimiert wird und der stationäre Wert nicht erreicht wird. Mit Implementierung einer Schlupfrandbedingung wird außerdem eine gute Übereinstimmung mit numerischen Werten aus der Literatur erzielt, wobei die Größe der Schlupflänge noch näher untersucht werden sollte. Innerhalb dieser Arbeit wird eine vom Netz unabhängige stationäre Steighöhe erreicht, die auch mit einem relativ groben Netz berechnet werden kann. Eine Annäherung des berechneten Kapillardrucks und des Kontaktwinkels an analytisch ermittelte Werte konnte ebenfalls verwirklicht werden.</abstract>
    <identifier type="urn">urn:nbn:de:bvb:573-35403</identifier>
    <enrichment key="opus.import.date">2023-04-18T06:59:30+00:00</enrichment>
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    <licence>Urheberrechtsschutz</licence>
    <advisor>
      <first_name>Konrad</first_name>
      <last_name>Költzsch</last_name>
    </advisor>
    <author>
      <first_name>Andreas Benedikt</first_name>
      <last_name>Iberl</last_name>
    </author>
    <advisor>
      <first_name>Sabine</first_name>
      <last_name>Bschorer</last_name>
    </advisor>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="degree_programme" number="19349">Applied Research in Engineering Sciences (M. Sc.)</collection>
    <collection role="Import" number="deepgreen">DeepGreen</collection>
    <thesisPublisher>Technische Hochschule Ingolstadt</thesisPublisher>
    <thesisGrantor>Technische Hochschule Ingolstadt</thesisGrantor>
    <file>https://opus4.kobv.de/opus4-haw/files/3540/I001259806Abschlussarbeit.pdf</file>
  </doc>
  <doc>
    <id>3528</id>
    <completedYear>2023</completedYear>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>173</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <articleNumber/>
    <type>masterthesis</type>
    <publisherName/>
    <publisherPlace>Ingolstadt</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2023-04-17</completedDate>
    <publishedDate>2022-08-05</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Performance analysis of CNN speed and power consumption among CPUs, GPUs and an FPGA for vehicular applications</title>
    <abstract language="eng">On May 25th, 2018 -- The General Data Protection Regulation (EU) 2016/679 was implemented in order to secure the handling process of EU citizens' data by removing unauthorized disclosure of personal data without the referred individual's consent for general use. Modern computer vision technology can successfully blur images exposing faces or vehicle plates using deep learning convolutional neural networks (DLCNNs) via Graphics Processing Units (GPUs). However, due to the generic nature of the GPU processor, the digital routing is not optimized to efficiently process-specific application uses, such as the CNN algorithm. The goal of this research is to create a digital integrated circuit using a Field-programmable gate array (FPGA) implementing strategic functions of synthesizable parts of the You Only Look Once (YOLO) v4, OpenPose, and PoseNet algorithms. Optimization of the already extant GPU implemented Convolutional Neural Networks (CNNs) in terms of resource consumption using the FPGA device structure is implemented. Comparisons are carried out considering frame rate, latency, and energy consumption, for the following processing devices: the Intel® Core™ i7-10750H Processor Central Processing Unit (CPU), GeForce® Giga Texel Shader eXtreme (GTX) 1660 Ti, and GeForce® Ray Tracing Texel eXtreme (RTX) 2080 Graphics Processing Units (GPUs) and a ZCU104-XCZU7EV-2FFVC1156 MPSoC FPGA. The different neural network models are implemented from floating to a fixed point onto the cited platforms. Object detection CNNs are evaluated using the mean Average Precision (mAP) metric. Pose algorithms are evaluated using Object Keypoint Similarity (OKS). A network pruning algorithm has been developed that can, with a 50 % compression rate, improve the frame rate of the YOLO V4 algorithm from 4 FPS (CPU) and 45 FPS (GPU) to 179 FPS on the FPGA while reducing the energy consumption by 50.8\% (1.192 mJ/Frame) compared to the tested CPU (2.423 mJ/Frame) and a 32.4 % (1.763 mJ/Frame) means compared to the GPU with a slight accuracy loss. Using the aforementioned metrics and normalized accuracy, PoseNet has obtained a mean performance of 300 FPS, against 37 FPS on the CPU and 128 FPS on the GPU, and obtaining respectively 61.1 % and 51.9 % (0.429 mJ/Frame) energy consumption reductions related to the CPU (1.104 mJ/Frame) and GPU (0.872 mJ/Frame) implementations, respectively. The developed work proves that implementing the tested CNNs on FPGA devices by designing a customized logic circuit can significantly increase performance in terms of surface occupation, speed, and energy consumption; and reduce overall costs in project development.</abstract>
    <identifier type="urn">urn:nbn:de:bvb:573-35286</identifier>
    <enrichment key="opus.import.date">2023-04-17T08:00:33+00:00</enrichment>
    <enrichment key="opus.source">sword</enrichment>
    <enrichment key="opus.import.user">primuss</enrichment>
    <licence>Urheberrechtsschutz</licence>
    <advisor>
      <first_name>Thomas</first_name>
      <last_name>Brandmeier</last_name>
    </advisor>
    <author>
      <first_name>Anderson</first_name>
      <last_name>de Lima Luiz</last_name>
    </author>
    <advisor>
      <first_name>Alessandro</first_name>
      <last_name>Zimmer</last_name>
    </advisor>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="degree_programme" number="19351">International Automotive Engineering (M. Eng.)</collection>
    <collection role="Import" number="deepgreen">DeepGreen</collection>
    <thesisPublisher>Technische Hochschule Ingolstadt</thesisPublisher>
    <thesisGrantor>Technische Hochschule Ingolstadt</thesisGrantor>
    <file>https://opus4.kobv.de/opus4-haw/files/3528/I001236866Thesis.pdf</file>
  </doc>
  <doc>
    <id>3515</id>
    <completedYear/>
    <publishedYear>2023</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>26</pageNumber>
    <edition/>
    <issue>8</issue>
    <volume>23</volume>
    <articleNumber>3901</articleNumber>
    <type>article</type>
    <publisherName>MDPI</publisherName>
    <publisherPlace>Basel</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Analysis of Deactivation of 18,650 Lithium-Ion Cells in CaCl2, Tap Water and Demineralized Water for Different Insertion Times</title>
    <abstract language="eng">The deployment of battery-powered electric vehicles in the market has created a naturally increasing need for the safe deactivation and recycling of batteries. Various deactivating methods for lithium-ion cells include electrical discharging or deactivation with liquids. Such methods are also useful for cases where the cell tabs are not accessible. In the literature analyses, different deactivation media are used, but none include the use of calcium chloride (CaCl2) salt. As compared to other media, the major advantage of this salt is that it can capture the highly reactive and hazardous molecules of Hydrofluoric acid. To analyse the actual performance of this salt in terms of practicability and safety, this experimental research aims to compare it against regular Tap Water and Demineralized Water. This will be accomplished by performing nail penetration tests on deactivated cells and comparing their residual energy against each other. Moreover, these three different media and respective cells are analysed after deactivation, i.e., based on conductivity measurements, cell mass, flame photometry, fluoride content, computer tomography and pH value. It was found that the cells deactivated in the CaCl2 solution did not show any signs of Fluoride ions, whereas cells deactivated in TW showed the emergence of Fluoride ions in the 10th week of the insertion. However, with the addition of CaCl2 in TW, the deactivation process &gt; 48 h for TW declines to 0.5–2 h, which could be an optimal solution for real-world situations where deactivating cells at a high pace is essential.</abstract>
    <parentTitle language="eng">Sensors</parentTitle>
    <identifier type="issn">1424-8220</identifier>
    <identifier type="urn">urn:nbn:de:bvb:573-35154</identifier>
    <enrichment key="THI_articleversion">published</enrichment>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.3390/s23083901</enrichment>
    <enrichment key="THI_openaccess">ja</enrichment>
    <enrichment key="THI_review">peer-review</enrichment>
    <licence>Creative Commons BY 4.0</licence>
    <author>
      <first_name>Katharina</first_name>
      <last_name>Wöhrl</last_name>
    </author>
    <author>
      <first_name>Yash</first_name>
      <last_name>Kotak</last_name>
    </author>
    <author>
      <first_name>Christian</first_name>
      <last_name>Geisbauer</last_name>
    </author>
    <author>
      <first_name>Sönke</first_name>
      <last_name>Barra</last_name>
    </author>
    <author>
      <first_name>Gudrun</first_name>
      <last_name>Wilhelm</last_name>
    </author>
    <author>
      <first_name>Gerhard</first_name>
      <last_name>Schneider</last_name>
    </author>
    <author>
      <first_name>Hans-Georg</first_name>
      <last_name>Schweiger</last_name>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>lithium-ion cells</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>cell deactivation</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>18,650 lithium-ion cells</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>cell deactivation in tap water</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>cell deactivation in demineralized water</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>cell deactivation in CaCl2 solution</value>
    </subject>
    <collection role="open_access" number="">open_access</collection>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="institutes" number="19319">CARISSMA Institute of Electric, Connected and Secure Mobility (C-ECOS)</collection>
    <collection role="persons" number="26111">Schweiger, Hans-Georg</collection>
    <thesisPublisher>Technische Hochschule Ingolstadt</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-haw/files/3515/sensors-23-03901-v2.pdf</file>
  </doc>
  <doc>
    <id>3509</id>
    <completedYear>2023</completedYear>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>65, XX</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <articleNumber/>
    <type>masterthesis</type>
    <publisherName/>
    <publisherPlace>Ingolstadt</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2023-04-13</completedDate>
    <publishedDate>2022-07-29</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">Simulationsbasierte Rohdatenanalyse eines Fahrzeugradars für simulative Sensortests</title>
    <identifier type="urn">urn:nbn:de:bvb:573-35098</identifier>
    <enrichment key="opus.import.date">2023-04-13T08:09:37+00:00</enrichment>
    <enrichment key="opus.source">sword</enrichment>
    <enrichment key="opus.import.user">primuss</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">true</enrichment>
    <licence>Urheberrechtsschutz</licence>
    <advisor>
      <first_name>Hans-Georg</first_name>
      <last_name>Schweiger</last_name>
    </advisor>
    <author>
      <first_name>Xinyi</first_name>
      <last_name>Li</last_name>
    </author>
    <advisor>
      <first_name>Werner</first_name>
      <last_name>Huber</last_name>
    </advisor>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="degree_programme" number="19348">Automatisiertes Fahren und Fahrzeugsicherheit (M. Eng.)</collection>
    <collection role="Import" number="deepgreen">DeepGreen</collection>
    <thesisPublisher>Technische Hochschule Ingolstadt</thesisPublisher>
    <thesisGrantor>Technische Hochschule Ingolstadt</thesisGrantor>
    <file>https://opus4.kobv.de/opus4-haw/files/3509/I001226413Abschlussarbeit.pdf</file>
  </doc>
  <doc>
    <id>3488</id>
    <completedYear>2023</completedYear>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>VIII, 55, h</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <articleNumber/>
    <type>bachelorthesis</type>
    <publisherName/>
    <publisherPlace>Ingolstadt</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2023-04-12</completedDate>
    <publishedDate>2022-07-12</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Design and evaluation of ultra wideband for localization of mobile robots</title>
    <abstract language="eng">Nowadays with satellite communication, global positioning system (GPS) is widely used in variety of applications such as object tracking and path planning. Satellite also provides high accuracy when pinpointing an object due to the clear path between the satellite and the object. This communication however cannot be utilized for indoor localization due to the signal incapability of penetrating through building. With the rise of robot automation, the demand for a real time and accurate indoor positioning system is increasing. Therefore a new localization system based on a different technology is needed to provide a better and more reliable estimation of a moving object in indoor environment.&#13;
&#13;
In this thesis, Ultra Wideband (UWB) technology is implemented due to its unique charateristics and accuracy that is advertised to be below 10 cm. UWB has a short duration pulse and high data rate which makes transmission of data faster compared to other technology. It can also penetrated through object which makes it suitable for indoor positioning. &#13;
&#13;
The result and endproduct of this project is a working indoor positioning system with an accuracy of 20 cm in LOS and 35 cm in NLOS environment. 2D localization conducted on a static tag results in an accuracy of 10 cm whereas for 3D localization performed on a moving tag, the accuracy ranges between 10 cm and 20 cm in LOS environment. The accuracy however degrades by 15 cm in NLOS environment.</abstract>
    <identifier type="urn">urn:nbn:de:bvb:573-34887</identifier>
    <enrichment key="opus.import.date">2023-04-12T07:30:37+00:00</enrichment>
    <enrichment key="opus.source">sword</enrichment>
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    <licence>Urheberrechtsschutz</licence>
    <advisor>
      <first_name>Christian</first_name>
      <last_name>Pfitzner</last_name>
    </advisor>
    <author>
      <first_name>Mohamad Faris</first_name>
      <last_name>Bin Amirmudin</last_name>
    </author>
    <advisor>
      <first_name>Ulrich</first_name>
      <last_name>Schmidt</last_name>
    </advisor>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="degree_programme" number="19346">Mechatronik (B. Eng.)</collection>
    <collection role="Import" number="deepgreen">DeepGreen</collection>
    <thesisPublisher>Technische Hochschule Ingolstadt</thesisPublisher>
    <thesisGrantor>Technische Hochschule Ingolstadt</thesisGrantor>
    <file>https://opus4.kobv.de/opus4-haw/files/3488/I001201953Thesis.pdf</file>
  </doc>
  <doc>
    <id>3433</id>
    <completedYear/>
    <publishedYear>2023</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>33792</pageFirst>
    <pageLast>33811</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume>11</volume>
    <articleNumber/>
    <type>article</type>
    <publisherName>IEEE</publisherName>
    <publisherPlace>New York</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2023-04-06</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Coupled Lateral and Longitudinal Controller for Over-Actuated Vehicle in Evasive Maneuvering with Sliding Mode Control Strategy</title>
    <abstract language="eng">Coupled controllers are vital for safely handling vehicles, especially in critical driving situations that include changing lanes to avoid obstacles. Controllers specialized in emergencies must keep road users safe in critical situations. In this paper, we develop the coupled controller to handle evasive maneuvers for an over-actuated vehicle. The controller is based on the second-order sliding mode control theory. We use the bicycle model to establish the equivalent and robust steering equations as a control-oriented model. The lateral and longitudinal vehicle motions are coupled to each other by the lateral vehicle information on the longitudinal sliding surface, and the dependence of the lateral sliding surface on the longitudinal velocity. The torque vectoring method based on fuzzy logic adjusts the yaw moment. We address the tire slip circle on the slip controller to stabilize the vehicle while maneuvering. We simulate and evaluate our controller in a rear-end collision situation with a short time window to maneuver the vehicle. The ego vehicle detects the preceding vehicle and performs an evasive lane change while simultaneously applying brakes to bring the vehicle to a halt. Our research is the earliest in providing an ultimate emergency control to successfully avoid crashes up to 130 km/h in short time crash detection.</abstract>
    <parentTitle language="eng">IEEE Access</parentTitle>
    <identifier type="issn">2169-3536</identifier>
    <identifier type="urn">urn:nbn:de:bvb:573-34336</identifier>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.1109/ACCESS.2023.3264277</enrichment>
    <enrichment key="THI_articleversion">published</enrichment>
    <enrichment key="THI_review">peer-review</enrichment>
    <enrichment key="THI_openaccess">ja</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <licence>Creative Commons BY 4.0</licence>
    <author>
      <first_name>Amauri</first_name>
      <last_name>da Silva Junior</last_name>
    </author>
    <author>
      <first_name>Christian</first_name>
      <last_name>Birkner</last_name>
    </author>
    <author>
      <first_name>Reza</first_name>
      <last_name>Jazar</last_name>
    </author>
    <author>
      <first_name>Hormoz</first_name>
      <last_name>Marzbani</last_name>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>autonomous vehicle</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>crash avoidance</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>evasive maneuvers</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>over-actuated vehicle</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>sliding mode control</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>vehicle coupled controllers</value>
    </subject>
    <collection role="open_access" number="">open_access</collection>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="institutes" number="19318">CARISSMA Institute of Safety in Future Mobility (C-ISAFE)</collection>
    <collection role="persons" number="23939">Birkner, Christian</collection>
    <thesisPublisher>Technische Hochschule Ingolstadt</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-haw/files/3433/Coupled_Lateral_and_Longitudinal_Controller.pdf</file>
  </doc>
  <doc>
    <id>3483</id>
    <completedYear>2023</completedYear>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>XX, 62</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <articleNumber/>
    <type>masterthesis</type>
    <publisherName/>
    <publisherPlace>Ingolstadt</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2023-04-12</completedDate>
    <publishedDate>2022-06-28</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Loss optimisation in the drive train with PMSM taking into account the interaction of the switching frequency and behavior of SiC mosfets</title>
    <abstract language="eng">For electric vehicles, the range becomes more and more relevant. Adding more battery weight will add additional drivable range at the cost of increased energy consumption of the vehicles. Therefore this work aims to minimize the traction system losses by investigating inverters switching frequency.&#13;
Mathematical descriptions of the losses were implemented, and simulation models were set up based on the reviewed literature. These models were validated against the mathematical description and the manufacturer's online tool.&#13;
This work results in a mathematical approach to determine the efficiency optimal switching frequency. The derived behavior could also be reproduced by simulation. Due to the unavailability of hardware, the models are not checked against the real world. When the hardware is available, the validation will be completed.</abstract>
    <identifier type="urn">urn:nbn:de:bvb:573-34833</identifier>
    <enrichment key="opus.import.date">2023-04-12T06:32:16+00:00</enrichment>
    <enrichment key="opus.source">sword</enrichment>
    <enrichment key="opus.import.user">primuss</enrichment>
    <licence>Urheberrechtsschutz</licence>
    <advisor>
      <first_name>Christian</first_name>
      <last_name>Birkner</last_name>
    </advisor>
    <author>
      <first_name>Tobias</first_name>
      <last_name>Kern</last_name>
    </author>
    <advisor>
      <first_name>Ondrej</first_name>
      <last_name>Vaculin</last_name>
    </advisor>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="degree_programme" number="19349">Applied Research in Engineering Sciences (M. Sc.)</collection>
    <collection role="Import" number="deepgreen">DeepGreen</collection>
    <thesisPublisher>Technische Hochschule Ingolstadt</thesisPublisher>
    <thesisGrantor>Technische Hochschule Ingolstadt</thesisGrantor>
    <file>https://opus4.kobv.de/opus4-haw/files/3483/I001171781Thesis.pdf</file>
  </doc>
  <doc>
    <id>3472</id>
    <completedYear>2023</completedYear>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>x, 60</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <articleNumber/>
    <type>masterthesis</type>
    <publisherName/>
    <publisherPlace>Ingolstadt</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2023-04-11</completedDate>
    <publishedDate>2022-06-15</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Risk-based decision making of autonomous vehicles for optimization-based path-following</title>
    <abstract language="eng">Autonomous driving has the potential to improve efficiency, comfort, and mobility in the future of automotive, among other benefits. Most importantly, it aims to create safer roads as human error is the number one cause of road accidents involving persons [1]. Decision making represents one of the most significant challenges in this research. The objective of this thesis is for the autonomous vehicle to follow a given path with optimized trajectories while avoiding obstacles and following road regulations. For this, the thesis represents the automotive environment in an artificial potential field (APF). Thus, static elements, like road structures, and dynamic obstacles, like other road users, are converted into weighted repulsive potential. The model predictive control (MPC), or specifically the nonlinear model predictive control (NMPC), generates possible driving trajectories and decides on the best maneuver while considering vehicle dynamics and stability. Unlike the common rule-based approach, trajectory planning and the decision making is specifically risk-based to ensure an optimized driving solution at all times. The optimization-based method allows the vehicle to avoid collision intuitively and potentially mitigate crashes in scenarios with an imminent collision. Using MPC requires an additional controller tuning as the optimization process factors in many parameters from various system components. The proposed APF and MPC model is implemented and simulated using the software programs MATLAB/Simulink and CarMaker. The thesis presents a series of test simulations focusing on overtaking and collision avoidance maneuvers. The evaluation based on the results of different driving scenarios validates the model. To conclude, the limitations and flaws of the model are listed and discussed.</abstract>
    <identifier type="urn">urn:nbn:de:bvb:573-34722</identifier>
    <enrichment key="opus.import.date">2023-04-11T11:16:41+00:00</enrichment>
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    <licence>Urheberrechtsschutz</licence>
    <advisor>
      <first_name>Christian</first_name>
      <last_name>Birkner</last_name>
    </advisor>
    <author>
      <first_name>Thu Trang</first_name>
      <last_name>Nguyen</last_name>
    </author>
    <advisor>
      <first_name>Ondrej</first_name>
      <last_name>Vaculin</last_name>
    </advisor>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="degree_programme" number="19350">Elektrotechnik mobiler Systeme (M. Eng.)</collection>
    <collection role="Import" number="deepgreen">DeepGreen</collection>
    <thesisPublisher>Technische Hochschule Ingolstadt</thesisPublisher>
    <thesisGrantor>Technische Hochschule Ingolstadt</thesisGrantor>
    <file>https://opus4.kobv.de/opus4-haw/files/3472/I001159393Thesis.pdf</file>
  </doc>
  <doc>
    <id>3467</id>
    <completedYear>2023</completedYear>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>IX, 121</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <articleNumber/>
    <type>masterthesis</type>
    <publisherName/>
    <publisherPlace>Ingolstadt</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2023-04-11</completedDate>
    <publishedDate>2022-05-20</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">Analyse verschiedener Balancingmethoden von Batteriesystemen hinsichtlich ihres Gefahrenpotentials</title>
    <identifier type="urn">urn:nbn:de:bvb:573-34671</identifier>
    <enrichment key="opus.import.date">2023-04-11T09:37:32+00:00</enrichment>
    <enrichment key="opus.source">sword</enrichment>
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    <licence>Urheberrechtsschutz</licence>
    <advisor>
      <first_name>Hans-Georg</first_name>
      <last_name>Schweiger</last_name>
    </advisor>
    <author>
      <first_name>Christina Rosa</first_name>
      <last_name>Schieber</last_name>
    </author>
    <advisor>
      <first_name>Lorenz</first_name>
      <last_name>Gaul</last_name>
    </advisor>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="degree_programme" number="19350">Elektrotechnik mobiler Systeme (M. Eng.)</collection>
    <collection role="Import" number="deepgreen">DeepGreen</collection>
    <thesisPublisher>Technische Hochschule Ingolstadt</thesisPublisher>
    <thesisGrantor>Technische Hochschule Ingolstadt</thesisGrantor>
    <file>https://opus4.kobv.de/opus4-haw/files/3467/I001134841Abschlussarbeit.pdf</file>
  </doc>
  <doc>
    <id>3466</id>
    <completedYear>2023</completedYear>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>70</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <articleNumber/>
    <type>masterthesis</type>
    <publisherName/>
    <publisherPlace>Ingolstadt</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2023-04-11</completedDate>
    <publishedDate>2022-06-01</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">Entwicklung eines Testprozesses im Bereich Advanced Driver Assistance Systems mit für den Testprozess angepassten Testwerkzeugen</title>
    <identifier type="urn">urn:nbn:de:bvb:573-34666</identifier>
    <enrichment key="opus.import.date">2023-04-11T09:26:35+00:00</enrichment>
    <enrichment key="opus.source">sword</enrichment>
    <enrichment key="opus.import.user">primuss</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">true</enrichment>
    <licence>Urheberrechtsschutz</licence>
    <advisor>
      <first_name>Martin</first_name>
      <last_name>Ebert</last_name>
    </advisor>
    <author>
      <first_name>Peter Paul Christiaan</first_name>
      <last_name>Quarré</last_name>
    </author>
    <advisor>
      <first_name>Werner</first_name>
      <last_name>Huber</last_name>
    </advisor>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="degree_programme" number="19348">Automatisiertes Fahren und Fahrzeugsicherheit (M. Eng.)</collection>
    <collection role="Import" number="deepgreen">DeepGreen</collection>
    <thesisPublisher>Technische Hochschule Ingolstadt</thesisPublisher>
    <thesisGrantor>Technische Hochschule Ingolstadt</thesisGrantor>
    <file>https://opus4.kobv.de/opus4-haw/files/3466/I001145864Abschlussarbeit.pdf</file>
  </doc>
  <doc>
    <id>3461</id>
    <completedYear>2023</completedYear>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>56</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <articleNumber/>
    <type>bachelorthesis</type>
    <publisherName/>
    <publisherPlace>Ingolstadt</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2023-04-11</completedDate>
    <publishedDate>2022-05-12</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">Voruntersuchung zur Steuerung eines mobilen Roboters für automatisiertes Arbeiten in Reihenplantagen</title>
    <identifier type="urn">urn:nbn:de:bvb:573-34610</identifier>
    <enrichment key="opus.import.date">2023-04-11T08:25:47+00:00</enrichment>
    <enrichment key="opus.source">sword</enrichment>
    <enrichment key="opus.import.user">primuss</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">true</enrichment>
    <licence>Urheberrechtsschutz</licence>
    <advisor>
      <first_name>Johann</first_name>
      <last_name>Schweiger</last_name>
    </advisor>
    <author>
      <first_name>Michael</first_name>
      <last_name>Bracher</last_name>
    </author>
    <advisor>
      <first_name>Bernhard</first_name>
      <last_name>Glavina</last_name>
    </advisor>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="degree_programme" number="19346">Mechatronik (B. Eng.)</collection>
    <collection role="Import" number="deepgreen">DeepGreen</collection>
    <thesisPublisher>Technische Hochschule Ingolstadt</thesisPublisher>
    <thesisGrantor>Technische Hochschule Ingolstadt</thesisGrantor>
    <file>https://opus4.kobv.de/opus4-haw/files/3461/I001124043Abschlussarbeit.pdf</file>
  </doc>
  <doc>
    <id>3456</id>
    <completedYear>2023</completedYear>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>xi, 49</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <articleNumber/>
    <type>masterthesis</type>
    <publisherName/>
    <publisherPlace>Ingolstadt</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2023-04-11</completedDate>
    <publishedDate>2022-04-08</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Thermal propogation mitigation materials for traction batteries</title>
    <abstract language="eng">The demand for Electric Vehicle (EV) is growing drastically such that even in pandemic times its sales percent doubled. The reasons for this include the need for reduction of CO2 emission to protect environment and the norms made by many countries to restrict the consumption of fossil fuels. This means the demand for EV will keep increasing in future also. To meet the demand and to hold the market position, it is necessary for engineers and automobile manufacturers to improve the EV in all possible aspects. One such important aspect is safety. Safety is always an important concern for EVs and hence several safety standards and regulations has been imparted on EV and its energy storage system- Batteries. One such safety standard GB38031 implemented on 2020 demands that there should be a 5-minute warning time for passengers when there is an event of thermal runway in an EV. We have to come up with a new idea to meet this standard. Since this safety standard demands safety criteria after the event of a failure, the area of research chosen in this thesis will be in the field of thermal insulation materials for traction batteries. Finding a new thermal insulation material for application in traction battery is the research approach of this thesis. The research started with analysis of thermal insulation materials used currently in traction battery thermal insulation application. By analyzing the behavior of influential parameters, new insulation materials are chosen that are either used in other industrial applications like construction, refractories etc. or which patented newly. The condition kept was it should not be used for thermal insulation application in traction battery. Based on research, list of few materials was chosen. The materials are either naturally occurred or artificially developed. The simulation analysis of all material based on the data acquired was done. Based on its result and the availability of raw materials experiment analysis of one material Rice Husk Ash (RHA) was done. RHA is a naturally occurring agricultural waste produced during cultivation of paddy. The rice husk is the base material of RHA. Their results tend to show excellent thermal behavior such that the performance of thermal insulation of this material seems to be better that 75 % of the currently used thermal insulation materials. The process of producing it is simple, economical and scope of further research is more for this material. The intention of this thesis is to find any new material that has never been used before in traction battery insulation and to find the suitability of that material for this application by means of its good thermal insulation performance.  The outcome of the thesis is a new material with good suitability to traction battery application was found and analyzed. This material RHA also has good scope on further research to find the full potential or to extend its limit in traction battery application which is also discussed in this thesis.</abstract>
    <identifier type="urn">urn:nbn:de:bvb:573-34561</identifier>
    <enrichment key="opus.import.date">2023-04-11T06:35:20+00:00</enrichment>
    <enrichment key="opus.source">sword</enrichment>
    <enrichment key="opus.import.user">primuss</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">true</enrichment>
    <licence>Urheberrechtsschutz</licence>
    <advisor>
      <first_name>Hans-Georg</first_name>
      <last_name>Schweiger</last_name>
    </advisor>
    <author>
      <first_name>Hilda Cavery</first_name>
      <last_name>Sekar</last_name>
    </author>
    <advisor>
      <first_name>Armin</first_name>
      <last_name>Arnold</last_name>
    </advisor>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="degree_programme" number="19351">International Automotive Engineering (M. Eng.)</collection>
    <collection role="Import" number="deepgreen">DeepGreen</collection>
    <thesisPublisher>Technische Hochschule Ingolstadt</thesisPublisher>
    <thesisGrantor>Technische Hochschule Ingolstadt</thesisGrantor>
    <file>https://opus4.kobv.de/opus4-haw/files/3456/I001098122Thesis.pdf</file>
  </doc>
  <doc>
    <id>3452</id>
    <completedYear>2023</completedYear>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>IV, 56, o</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <articleNumber/>
    <type>bachelorthesis</type>
    <publisherName/>
    <publisherPlace>Ingolstadt</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2023-04-06</completedDate>
    <publishedDate>2022-04-25</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">Konzeptentwicklung und Plausibilisierung eines remotefähigen modularen und automatisierten Infotainment-Testlabors</title>
    <abstract language="deu">Auf dem Weg zum Fahrzeug der Zukunft kommt der Software eine essenzielle Rolle zu, das Software-definierte Auto entsteht. Es erzeugt Mehrwert für Fahrer sowie Beifahrer und integriert sich organisch in die digitale Welt seiner Nutzer. Der höheren Bedeutung von Software im Auto steht ein höherer Bedarf für Tests insbesondere in der Frühen Phase der Fahrzeugenwicklung gegenüber. Die Simulationen der HW und SW sind virtuelle Tests, die status quo immer noch von realen Systemtest begleitet werden müssen. Um zukünftige Herausforderungen zu meistern, kann die angewandte Digitalisierung dazu beitragen, den Testprozess auf ganze Testlabore abzustimmen. Zur Entlastung der menschlichen Tester in der Fahrzeugentwicklung sind Testautomatisierungen im größeren Rahmen zwingend erforderlich.&#13;
Das Ziel der vorliegenden Bachelorarbeit ist es, ein Konzept zu entwickeln, welches sich auf eine Neuentwicklung eines modularen automatisierten Infotainment Test-Labors fokussiert. Das Konzept beinhaltet Testaufbauten in einem Labor, die unterschiedliche Anwendungsfälle absichern können. Die Testaufbauten werden über Remotezugriff, entweder von einem Tester selbst, der Testautomatisierungen oder von einem Roboter getriggert. Damit ist die Präsenz der menschlichen Tester im Labor nicht notwendig. Die Umgebungsbedingungen als auch die Sicherheitsmaßnahmen sind auf das Testlabor angepasst und die Strom- und Datenanbindung optimiert ausgelegt.&#13;
Mittels einem Systems Engineering Ansatz wird das Gesamtkonzept des Labors modelliert und damit die Frage nach der einzusetzenden Entwicklungsmethode beantwortet. Das Modell berücksichtigt die Herausforderungen des Projekts, übersetzt es in Anforderungen und wird der Sparks GmbH für eine nachhaltige Umsetzung des Projekts als Basis zur Verfügung gestellt.</abstract>
    <identifier type="urn">urn:nbn:de:bvb:573-34527</identifier>
    <enrichment key="opus.import.date">2023-04-06T11:44:44+00:00</enrichment>
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    <licence>Urheberrechtsschutz</licence>
    <advisor>
      <first_name>Armin</first_name>
      <last_name>Arnold</last_name>
    </advisor>
    <author>
      <first_name>Alexander</first_name>
      <last_name>Schäfer</last_name>
    </author>
    <advisor>
      <first_name>Robert</first_name>
      <last_name>Hermann</last_name>
    </advisor>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="degree_programme" number="19344">Elektrotechnik und Elektromobilität (B. Eng.)</collection>
    <collection role="Import" number="deepgreen">DeepGreen</collection>
    <thesisPublisher>Technische Hochschule Ingolstadt</thesisPublisher>
    <thesisGrantor>Technische Hochschule Ingolstadt</thesisGrantor>
    <file>https://opus4.kobv.de/opus4-haw/files/3452/I001099235Abschlussarbeit.pdf</file>
  </doc>
  <doc>
    <id>3450</id>
    <completedYear>2023</completedYear>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>IX, 50, VI-X</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <articleNumber/>
    <type>masterthesis</type>
    <publisherName/>
    <publisherPlace>Ingolstadt</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2023-04-06</completedDate>
    <publishedDate>2022-04-22</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Integration of vehicle interface to Autoware</title>
    <abstract language="eng">For an autonomous vehicle, in order to maneuver safely by avoiding collisions with objects detected in the surrounding, it is crucial to have a stable and reliable motion control. Hence longitudinal and lateral control of the vehicle should be possible for the autonomous driving platform. This thesis work focuses on integrating the vehicle interface of StreetDrone Twizy to the open source autonomous driving platform Autoware. &#13;
&#13;
The first part of the work focuses on identifying of how the vehicle integration is realized with Project ASLAN. For this a simulation environment and drive simulation is created in Gazebo to drive the vehicle autonomously and to identify and realize the corresponding Robot Operating System (ROS) topic responsible for publishing the drive commands onto the vehicle.&#13;
&#13;
The second part of the work focuses on using the Twizy vehicle model Unified Robot Description File (URDF) into Autoware and realize the vehicle integration. For this a drive simulation in CARLA is created making use of the available simulation environment to identify the ROS topic responsible for publishing drive commands. Making using of ROS, a keyboard publisher node is created to publish the longitudinal and lateral control commands independent of the software. Also, the stability of the Twizy is verified for the desired command inputs and a value for each step increase or decrease is chosen.</abstract>
    <identifier type="urn">urn:nbn:de:bvb:573-34504</identifier>
    <enrichment key="opus.import.date">2023-04-06T11:11:55+00:00</enrichment>
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    <licence>Urheberrechtsschutz</licence>
    <advisor>
      <first_name>Ondrej</first_name>
      <last_name>Vaculin</last_name>
    </advisor>
    <author>
      <first_name>Krishna Chaitanya</first_name>
      <last_name>Konda</last_name>
    </author>
    <advisor>
      <first_name>Martin</first_name>
      <last_name>Ebert</last_name>
    </advisor>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="degree_programme" number="19351">International Automotive Engineering (M. Eng.)</collection>
    <collection role="Import" number="deepgreen">DeepGreen</collection>
    <thesisPublisher>Technische Hochschule Ingolstadt</thesisPublisher>
    <thesisGrantor>Technische Hochschule Ingolstadt</thesisGrantor>
    <file>https://opus4.kobv.de/opus4-haw/files/3450/I001098976Thesis.pdf</file>
  </doc>
  <doc>
    <id>3437</id>
    <completedYear>2023</completedYear>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>XIII, 219</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <articleNumber/>
    <type>masterthesis</type>
    <publisherName/>
    <publisherPlace>Ingolstadt</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2023-04-06</completedDate>
    <publishedDate>2022-03-20</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Graph-based generation of OpenSCENARIO-driving-scenarios for virtual validation of automated driving functions</title>
    <abstract language="eng">With the prospect of self-driving cars, challenges in the areas of safety and trust, among others, must be addressed. Virtual testing and validation represents an opportunity to address these challenges. Therefore, in the context of this master thesis, the potential of enriching the virtual test of automated driving functions was explored.&#13;
&#13;
A virtual test used for the validation of automated driving functions benefits, among other things, from reproducible, fully comprehensive and automatically generated driving situations. In this thesis, a graph-based methodology was developed that fulfills these requirements to provide such driving situations.&#13;
&#13;
This methodology is based on the open standard ASAM OpenSCENARIO as well as the graph library QuikGraph. As basis for this, an OpenSCENARIO-Library was developed as part of this thesis. The functionality is demonstrated by means of an example based on the OpenSCENARIOStandard. The driving situations - made available as a so-called scenarios - are generated according to the following graph-based method:&#13;
&#13;
- Create OpenSCENARIO-Graph using both the created OpenSCENARIO-Library and QuikGraph&#13;
- Analyze OpenSCENARIO-Graph using DFS and find the shortest paths using Hoffman and Pavley K-shortest Path algorithm&#13;
-- Challenges addressed: Cycle resolution and complying to naming conventions within the OpenSCENARIO-Standard&#13;
- Provide paths through the OpenSCENARIO-Graph through OpenSCENARIO-Scenarios for validation&#13;
&#13;
These driving situations can be used to enrich OpenSCENARIO-compatible driving simulators (in this work: esmini) to enable virtual testing and validation of automated driving functions. Thus, this work represents a small contribution to solve the challenges of self-driving cars.</abstract>
    <identifier type="urn">urn:nbn:de:bvb:573-34377</identifier>
    <enrichment key="opus.import.date">2023-04-06T08:51:29+00:00</enrichment>
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    <licence>Urheberrechtsschutz</licence>
    <advisor>
      <first_name>Werner</first_name>
      <last_name>Huber</last_name>
    </advisor>
    <author>
      <first_name>Matthias</first_name>
      <last_name>Meyer</last_name>
    </author>
    <advisor>
      <first_name>Hans-Joachim</first_name>
      <last_name>Hof</last_name>
    </advisor>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="degree_programme" number="19349">Applied Research in Engineering Sciences (M. Sc.)</collection>
    <collection role="Import" number="deepgreen">DeepGreen</collection>
    <thesisPublisher>Technische Hochschule Ingolstadt</thesisPublisher>
    <thesisGrantor>Technische Hochschule Ingolstadt</thesisGrantor>
    <file>https://opus4.kobv.de/opus4-haw/files/3437/I001092478Thesis.pdf</file>
  </doc>
  <doc>
    <id>3416</id>
    <completedYear>2023</completedYear>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>vii, 68</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <articleNumber/>
    <type>masterthesis</type>
    <publisherName/>
    <publisherPlace>Ingolstadt</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2023-04-05</completedDate>
    <publishedDate>2022-02-22</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Cleaning concept for laser scanners in autonomous mobile robots</title>
    <abstract language="eng">Today, the industry is opting for more and more automation with the goal of turning autonomous, especially with regards to its manufacturing units. To achieve this goal, it strives for innovations in sensor technology, as the success of automation is dependent on the accuracy of the data provided by the sensors. One of the major influencing factors for this accuracy, is the ‘cleanliness’ of the sensor’s surface which is exposed to the outer surroundings. In the industrial environment, where contamination of air due to dust, oil or any such particulates is quite common, the chances of sensor failure due to its surface being exposed to this kind of contamination are quite high. This thesis was aimed at a specific use case scenario, where autonomous mobile robots working in an industrial environment, face challenges in its operations on almost everyday basis. The tasks were therefore to perform the analysis, find the source of the issue, explore different options that lead to a concept for cleaning the sensors in that particular use case and produce a proper working proof of concept of the cleaning mechanism.</abstract>
    <identifier type="urn">urn:nbn:de:bvb:573-34169</identifier>
    <enrichment key="opus.import.date">2023-04-05T10:29:20+00:00</enrichment>
    <enrichment key="opus.source">sword</enrichment>
    <enrichment key="opus.import.user">primuss</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">true</enrichment>
    <licence>Urheberrechtsschutz</licence>
    <advisor>
      <first_name>Armin</first_name>
      <last_name>Arnold</last_name>
    </advisor>
    <author>
      <first_name>Tejas Sadanand</first_name>
      <last_name>Kothari</last_name>
    </author>
    <advisor>
      <first_name>Michael</first_name>
      <last_name>Botsch</last_name>
    </advisor>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="degree_programme" number="19351">International Automotive Engineering (M. Eng.)</collection>
    <collection role="Import" number="deepgreen">DeepGreen</collection>
    <thesisPublisher>Technische Hochschule Ingolstadt</thesisPublisher>
    <thesisGrantor>Technische Hochschule Ingolstadt</thesisGrantor>
    <file>https://opus4.kobv.de/opus4-haw/files/3416/I001087304Thesis.pdf</file>
  </doc>
  <doc>
    <id>3406</id>
    <completedYear>2023</completedYear>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>III, 37</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <articleNumber/>
    <type>bachelorthesis</type>
    <publisherName/>
    <publisherPlace>Ingolstadt</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2023-04-04</completedDate>
    <publishedDate>2022-01-18</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">System zur kamerabasierten Erkennung von Deformationen an Lastanschlagsmitteln durch Bildanalyse</title>
    <abstract language="deu">Die Bachelorarbeit verfolgt das Ziel ein System zu finden, mit dem sich Anschlagsmittel im allgemeinen und S-Haken im speziellen mit industrieller Bildverarbeitung prüfen lassen. In der Arbeit wird ein Verfahren veranschaulicht, dass es ermöglicht S-Haken im Histogramm zu beurteilen. Das gesamte System ist so angelegt, dass es vom Benutzer kaum zu beeinflussen ist. Somit ist das System sowohl für sachkundige Prüfer als auch für Betriebe geeignet. Es kann gezeigt werden, dass dies für zweidimensionale Deformationen sehr gut möglich ist. Dreidimensionale Prüfungen sind mit Anpassungen denkbar. Eine Anwendung auf andere Anschlagsmittel ist viel versprechend.</abstract>
    <identifier type="urn">urn:nbn:de:bvb:573-34064</identifier>
    <enrichment key="opus.import.date">2023-04-04T12:51:19+00:00</enrichment>
    <enrichment key="opus.source">sword</enrichment>
    <enrichment key="opus.import.user">primuss</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">true</enrichment>
    <licence>Urheberrechtsschutz</licence>
    <advisor>
      <first_name>Georg</first_name>
      <last_name>Passig</last_name>
    </advisor>
    <author>
      <first_name>Georg Matthias</first_name>
      <last_name>Wichmann</last_name>
    </author>
    <advisor>
      <first_name>Rudolf</first_name>
      <last_name>Gregor</last_name>
    </advisor>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="degree_programme" number="19346">Mechatronik (B. Eng.)</collection>
    <collection role="Import" number="deepgreen">DeepGreen</collection>
    <thesisPublisher>Technische Hochschule Ingolstadt</thesisPublisher>
    <thesisGrantor>Technische Hochschule Ingolstadt</thesisGrantor>
    <file>https://opus4.kobv.de/opus4-haw/files/3406/I001058586Abschlussarbeit.pdf</file>
  </doc>
  <doc>
    <id>3399</id>
    <completedYear>2023</completedYear>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>VIII, 117</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <articleNumber/>
    <type>bachelorthesis</type>
    <publisherName/>
    <publisherPlace>Ingolstadt</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2023-04-04</completedDate>
    <publishedDate>2022-01-14</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">Modellentwicklung eines BLDC-Motors für Elektrofahrräder</title>
    <abstract language="deu">Das Ziel dieser Bachelorarbeit ist es einen EC-Motor für ein elektrisch betriebenes Fahrrad, dem Pedelec, zu entwickeln. Dabei wird das benötigte Hintergrundwissen für die Entwicklung eines Elektromotors, speziell des BLDC-Motors, aus der zur Verfügung stehenden Literatur zusammengetragen. Des Weiteren wird eine parametrisierte Exceltabelle zur Berechnung der Konstruktion erstellt. Die ermittelten Werte können anschließend in das Konstruktionsprogramm MotorWizard, einem Unterprogramm in SolidWorks, eingefügt werden, um ein CAD-Modell aufzubauen. Um dieses hinsichtlich der Leistungsfähigkeit zu bewerten, werden im Anschluss Simulationen wie z. B. zur Ermittlung des Drehmoments und der magnetischen Flussdichte durchgeführt. Um weitere Modelle aufzubauen, werden die Nut- und Polpaarzahlen variiert. Zuletzt werden Optimierungsmaßnahmen wie z. B. die Nutschrägung an dem leistungsfähigsten Modell das sich aus den Simulationen ergab durchgeführt, um das Drehmoment und die Leistung auf ein Maximum zu erhöhen.</abstract>
    <identifier type="urn">urn:nbn:de:bvb:573-33992</identifier>
    <enrichment key="opus.import.date">2023-04-04T11:04:30+00:00</enrichment>
    <enrichment key="opus.source">sword</enrichment>
    <enrichment key="opus.import.user">primuss</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">true</enrichment>
    <licence>Urheberrechtsschutz</licence>
    <advisor>
      <first_name>Robert</first_name>
      <last_name>Hermann</last_name>
    </advisor>
    <author>
      <first_name>Tobias Franz</first_name>
      <last_name>Kristl</last_name>
    </author>
    <advisor>
      <first_name>Lorenz</first_name>
      <last_name>Gaul</last_name>
    </advisor>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="degree_programme" number="19344">Elektrotechnik und Elektromobilität (B. Eng.)</collection>
    <collection role="Import" number="deepgreen">DeepGreen</collection>
    <thesisPublisher>Technische Hochschule Ingolstadt</thesisPublisher>
    <thesisGrantor>Technische Hochschule Ingolstadt</thesisGrantor>
    <file>https://opus4.kobv.de/opus4-haw/files/3399/I001057108Abschlussarbeit.pdf</file>
  </doc>
  <doc>
    <id>3393</id>
    <completedYear>2023</completedYear>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>ix, 75</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <articleNumber/>
    <type>masterthesis</type>
    <publisherName/>
    <publisherPlace>Ingolstadt</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2023-04-04</completedDate>
    <publishedDate>2022-02-11</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Sparse discovery of an empirical vehicle dynamics model for model predictive trajectory optimization</title>
    <abstract language="eng">Fully autonomous driving to prevent road accidents remains a challenge. Further work, such as route planning upon detection of obstacles and actuation of the actuators to keep the vehicle on the planned path, is often required before the collision avoidance systems are ready to roll out. There are different control strategies that are used and have been proposed for addressing this challenge. From these strategies, the Model Predictive Control has gained quite a lot of interest in recent years.&#13;
The main idea of MPC is to predict the future behavior of the controlled system on a finite time horizon and to calculate the optimal control input Signal. Finding the correct predictive model of the system is a crucial part of MPC. This thesis proposes a framework based on the SINDy method to develop an empirical vehicle dynamic model that can address the accuracy and computational complexity problem of the MPC dynamic models.&#13;
The first part of the work is focused on data collection using IPG CarMaker and the data preprocessing steps. The empirical model is primarily based on the data representing the system dynamics under consideration. Any uncertainty in the data leads to the degradation of the obtained model. &#13;
The second part of the work is devoted to formulating the regression problem itself. There are many aspects to problem configuration that one needs to adapt to for specific system requirements. This section defines selecting the correct model structure and candidate function library.&#13;
The third part of this work is focused on the model selection process that includes finding the best trade-off between the required accuracy and model complexity. The comparison of the obtained model with the already available physics-based model is also evaluated in this part. This evaluation found that the empirical model performs better during highly nonlinear maneuvers compared to the already available physics-based model.</abstract>
    <identifier type="urn">urn:nbn:de:bvb:573-33937</identifier>
    <enrichment key="opus.import.date">2023-04-04T09:11:27+00:00</enrichment>
    <enrichment key="opus.source">sword</enrichment>
    <enrichment key="opus.import.user">primuss</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
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    <licence>Urheberrechtsschutz</licence>
    <advisor>
      <first_name>Christian</first_name>
      <last_name>Birkner</last_name>
    </advisor>
    <author>
      <first_name>Tushar</first_name>
      <last_name>Rana</last_name>
    </author>
    <advisor>
      <first_name>Ondrej</first_name>
      <last_name>Vaculin</last_name>
    </advisor>
    <subject>
      <language>eng</language>
      <type>swd</type>
      <value>Studiengang International Automotive Engineering</value>
    </subject>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="degree_programme" number="19351">International Automotive Engineering (M. Eng.)</collection>
    <collection role="Import" number="deepgreen">DeepGreen</collection>
    <thesisPublisher>Technische Hochschule Ingolstadt</thesisPublisher>
    <thesisGrantor>Technische Hochschule Ingolstadt</thesisGrantor>
    <file>https://opus4.kobv.de/opus4-haw/files/3393/I001074028Thesis.pdf</file>
  </doc>
  <doc>
    <id>3391</id>
    <completedYear>2023</completedYear>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>70</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <articleNumber/>
    <type>masterthesis</type>
    <publisherName/>
    <publisherPlace>Ingolstadt</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2023-04-04</completedDate>
    <publishedDate>2022-02-10</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Implementation of communication protocols into mission control simulation environment</title>
    <abstract language="eng">The virtualization of sensor signals from the perception layer was demonstrated. The method is based on the test vehicle's and the test network's digital twins. A differential GPS and a perception sensor, as well as two wirelessly connected computers, can be used to build the system. On the software side, the system was built using Python, an open-source programming language. The SENSORIS communication standard was used for communication between the two computers.</abstract>
    <identifier type="urn">urn:nbn:de:bvb:573-33915</identifier>
    <enrichment key="opus.import.date">2023-04-04T08:56:45+00:00</enrichment>
    <enrichment key="opus.source">sword</enrichment>
    <enrichment key="opus.import.user">primuss</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">true</enrichment>
    <licence>Urheberrechtsschutz</licence>
    <advisor>
      <first_name>Ondrej</first_name>
      <last_name>Vaculin</last_name>
    </advisor>
    <author>
      <first_name>Anay Sunilkumar</first_name>
      <last_name>Pandya</last_name>
    </author>
    <advisor>
      <first_name>Andreas</first_name>
      <last_name>Hagerer</last_name>
    </advisor>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="degree_programme" number="19351">International Automotive Engineering (M. Eng.)</collection>
    <collection role="Import" number="deepgreen">DeepGreen</collection>
    <thesisPublisher>Technische Hochschule Ingolstadt</thesisPublisher>
    <thesisGrantor>Technische Hochschule Ingolstadt</thesisGrantor>
    <file>https://opus4.kobv.de/opus4-haw/files/3391/I001072827Thesis.pdf</file>
  </doc>
  <doc>
    <id>3385</id>
    <completedYear>2023</completedYear>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>XV, 112, XXIII</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <articleNumber/>
    <type>masterthesis</type>
    <publisherName/>
    <publisherPlace>Ingolstadt</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2023-04-04</completedDate>
    <publishedDate>2022-02-10</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Uncertainty aware observation of surrounding traffic agents for interaction aware motion prediction models</title>
    <abstract language="eng">The behaviour prediction module sits at the heart of the autonomous driving architecture. It is responsible for observing and predicting the behaviour of surrounding traffic agents. State of the art behaviour prediction models are data-driven. As a result of an increase in computational capabilities and access to large amounts of data, these data-driven models such as deep neural networks have proven their might in the field of autonomous driving. However, deep learning methods pose a crucial question to the autonomous driving community, which is the question of reliability. Data-driven methods are highly reliant on the data they are trained on and it is hard to predict their performance in real autonomous driving scenarios. One solution is to gather more data with the hope to capture all relevant real-life scenarios. However, gathering data is expensive, and it is hard to qualitatively ascertain which scenarios need to be captured during data acquisition. Another option is to teach deep learning models to detect scenarios where they have high uncertainty. In other words, we teach these models to say "I don’t know". Such an uncertainty measure can be vital in preventing accidents, injuries and fatalities. In the present thesis, an attempt has been made to quantify the model uncertainty in motion prediction of surrounding traffic agents in challenging heterogeneous driving scenarios.&#13;
&#13;
In the current research, interaction-and-uncertainty-aware models are built for a 2-second and 3-second prediction and observation horizon. These models use a sequence of colour-coded bird’s eye view (BEV) images of the surrounding scene as inputs and predict a sequence of future occupancy grid maps (OGMs) as outputs. By representing the scene as a BEV image, critical problems concerning motion prediction are addressed. These include the problem of choosing the number of traffic agents in a scene, modelling spatial-interactions among traffic agents and information encoding (position, class, size, heading direction and underlying map). Additionally, by colour-coding the BEV images and exploiting the Hue-Saturation-Value (HSV) space, confidence measures from the object tracker module are encoded along the Saturation dimension. With this, we aim to capture the uncertainty associated with the low-confidence detections of the object tracker. In the present thesis, the epistemic uncertainty of the motion prediction model is modelled using the well-known Monte Carlo dropout (MC dropout) method. The output of the uncertainty-aware model consists of the mean of the predicted OGMs and an uncertainty-aware OGM that captures the Gaussian variance associated with each grid cell. One major problem associated with the prediction of OGMs is the choice of a loss function. In the present thesis, a novel loss function called Combi-loss is introduced. Combi-loss is a combination of the Binary Crossentropy loss that measures grid cell to grid cell loss, and the Tversky loss which measures the loss holistically. The performance of these models is tested on challenging nuScenes urban scenarios. Testing is also performed on object-tracker data. This enables a realistic estimate of actual performance and also provides leeway to investigate the capabilities of the uncertainty-aware model to capture the low confidence outputs of the object tracker as uncertainty estimates. Finally, zoom data-augmentation is performed to improve the resolution of OGMs without modifying the network architecture. The results show promising prospects for capturing uncertainty associated with motion prediction in a simple yet effective manner and contribute to a safer mobility of the future.</abstract>
    <identifier type="urn">urn:nbn:de:bvb:573-33856</identifier>
    <enrichment key="opus.import.date">2023-04-04T07:02:57+00:00</enrichment>
    <enrichment key="opus.source">sword</enrichment>
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    <enrichment key="opus.doi.autoCreate">false</enrichment>
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    <licence>Urheberrechtsschutz</licence>
    <advisor>
      <first_name>Christian</first_name>
      <last_name>Birkner</last_name>
    </advisor>
    <author>
      <first_name>Chidvilas</first_name>
      <last_name>Karpenahalli Ramakrishna</last_name>
    </author>
    <advisor>
      <first_name>Ondrej</first_name>
      <last_name>Vaculin</last_name>
    </advisor>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="degree_programme" number="19351">International Automotive Engineering (M. Eng.)</collection>
    <collection role="Import" number="deepgreen">DeepGreen</collection>
    <thesisPublisher>Technische Hochschule Ingolstadt</thesisPublisher>
    <thesisGrantor>Technische Hochschule Ingolstadt</thesisGrantor>
    <file>https://opus4.kobv.de/opus4-haw/files/3385/I001072661Thesis.pdf</file>
  </doc>
  <doc>
    <id>3381</id>
    <completedYear>2023</completedYear>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>97</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <articleNumber/>
    <type>bachelorthesis</type>
    <publisherName/>
    <publisherPlace>Ingolstadt</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2023-04-03</completedDate>
    <publishedDate>2022-02-16</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">Korrelation der mittels Akustikmikroskopie und Transient Thermischer Analyse detektierten Rissbildung in Lötverbindungen mit Finite-Element Simulation</title>
    <abstract language="deu">Ausschlaggebend für die Lebensdauer von High-Power LEDs ist meist die Lötverbindung. Um eine möglichst gute Kühlung von High-Power LEDs zu ermöglichen, werden diese meist auf Aluminiumleiterplatten gelötet. Hierdurch bildet sich eine Diskrepanz der Wärmeausdehnungskoeffizienten der LED sowie der Aluminiumleiterplatte, was bei Erwärmung des Aufbaus zu mechanischen Spannungen in der Lötverbindung führt. Durch wiederholtes Erwärmen und Abkühlen der Baugruppe entstehen so mit der Zeit Risse im Lot, was eine höhere Betriebstemperatur, und somit auch verkürzten Lebensdauer, schlechteren Wirkungsgrad und Farbdrift der LED zur Folge hat. Um ein besseres Verständnis der Auswirkungen dieser Risse in der Lötverbindung auf das thermische Verhalten der LED zu erlangen, wurde in dieser Arbeit, auf Basis von transient thermischen Messdaten, ein thermisches FE-Modell (Finite Element Modell) einer High Power LED erstellt. Mittels Parameteranpassung des Modells konnte ein CoD (Bestimmtheitsmaß) zwischen dem Modell und den Messdaten von 0.9999 erreicht werden. Dieses angepasste Modell ermöglichte es anschließend Untersuchungen bezüglich des thermischen Verhaltens während der Rissbildung durchzuführen. Hierbei galt es insbesondere gemessene thermische Daten in LEDs mit Rissen im Lot mit Daten der Akustikmikroskopie zu vergleichen. Aus weiteren Analysen anhand des erstellten Modells ergab sich, dass das thermische Pad der LED wichtiger für die Kühlung der LED ist, als durch seine Fläche zu vermuten wäre. Es konnte auch gezeigt werden, dass es im Rahmen der Simulation möglich ist, anhand von TTA (Transienter Thermischer Analyse) die Region der Rissbildung zu bestimmen. Dieses Ergebnis der Simulation konnte auch mit Mess- Und Analysedaten verifiziert werden.</abstract>
    <identifier type="urn">urn:nbn:de:bvb:573-33810</identifier>
    <enrichment key="opus.import.date">2023-04-03T12:48:47+00:00</enrichment>
    <enrichment key="opus.source">sword</enrichment>
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    <enrichment key="opus.urn.autoCreate">true</enrichment>
    <licence>Urheberrechtsschutz</licence>
    <advisor>
      <first_name>Gordon</first_name>
      <last_name>Elger</last_name>
    </advisor>
    <author>
      <first_name>Joseph</first_name>
      <last_name>Hermann</last_name>
    </author>
    <advisor>
      <first_name>Robert</first_name>
      <last_name>Hermann</last_name>
    </advisor>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="degree_programme" number="19344">Elektrotechnik und Elektromobilität (B. Eng.)</collection>
    <collection role="Import" number="deepgreen">DeepGreen</collection>
    <thesisPublisher>Technische Hochschule Ingolstadt</thesisPublisher>
    <thesisGrantor>Technische Hochschule Ingolstadt</thesisGrantor>
    <file>https://opus4.kobv.de/opus4-haw/files/3381/I001074533Abschlussarbeit.pdf</file>
  </doc>
  <doc>
    <id>3377</id>
    <completedYear>2023</completedYear>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>IV, 64</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <articleNumber/>
    <type>bachelorthesis</type>
    <publisherName/>
    <publisherPlace>Ingolstadt</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2023-04-03</completedDate>
    <publishedDate>2022-02-16</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">Kalibrierung und Rohdatenfusion eines Verbundes aus RGB-Kamera und automotive Flash-LiDAR</title>
    <abstract language="deu">Diese Arbeit beschreibt einen Ansatz zur Kalibrierung eines Messaufbaus bestehend aus einer Kamera und einem Flash-Lidar. Die verwendete Kamera liefert ein RGB-Bild mit einer hohen Auflösung. Der Flash-LiDAR erzeugt ein Tiefenbild und ein IR-Intensitäts-Bild mit niedriger Auflösung. Die beiden Sensoren werden über ein gemeinsames Schachbrettmuster kalibriert. Die Kalibrierung des Flash-Lidars mit einem Standard-Schachbrett stellt einen neuartigen Ansatz zur Kalibrierung dieser Sensoren dar. Die hierdurch gewonnene Position des Schachbretts, relativ zum jeweiligen Sensor, wird anschließend verwendet, um eine Transformation zwischen den beiden Sensoren zu bestimmen. Über diese Transformation und die ermittelte Intrinsic-Matrix der Kamera werden die Messdaten des LiDAR in das RGB-Bild der Kamera transformiert. Als Resultat erhält man ein 5-Kanal Bild. Die Kanäle entsprechen hierbei den drei Farbkanäle der Kamera, erweitert um die Tiefe und die Intensität des reflektieren IR-Lichtes. Die Tiefe und Reflektivität sind nicht für jeden Pixel im Bild verfügbar, bedingt durch die geringere Auflösung des Flash-LiDAR.</abstract>
    <identifier type="urn">urn:nbn:de:bvb:573-33772</identifier>
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      <first_name>Gordon</first_name>
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    <author>
      <first_name>Philipp Jakob</first_name>
      <last_name>Blumhofer</last_name>
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    <advisor>
      <first_name>Andreas</first_name>
      <last_name>Festag</last_name>
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    <id>3368</id>
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    <publishedYear>2022</publishedYear>
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    <pageLast/>
    <pageNumber>v, 47</pageNumber>
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    <completedDate>2023-04-03</completedDate>
    <publishedDate>2022-02-04</publishedDate>
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    <title language="eng">Autonomous driving environment sensing through a feature-level fusion architecture using radar and camera</title>
    <identifier type="urn">urn:nbn:de:bvb:573-33685</identifier>
    <enrichment key="opus.import.date">2023-04-03T09:39:03+00:00</enrichment>
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      <first_name>Alessandro</first_name>
      <last_name>Zimmer</last_name>
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    <author>
      <first_name>Gokulesh</first_name>
      <last_name>Danapal</last_name>
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    <advisor>
      <first_name>Thomas</first_name>
      <last_name>Brandmeier</last_name>
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    <collection role="degree_programme" number="19351">International Automotive Engineering (M. Eng.)</collection>
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  <doc>
    <id>3339</id>
    <completedYear>2023</completedYear>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>XI, 110</pageNumber>
    <edition/>
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    <type>masterthesis</type>
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    <publisherPlace>Ingolstadt</publisherPlace>
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    <completedDate>2023-03-30</completedDate>
    <publishedDate>2022-01-03</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">Entwicklung und Evaluierung eines Raytracing-basierten Lidar-Sensormodells in Carmaker und Matlab/Simulink</title>
    <abstract language="deu">In der hier vorliegenden Arbeit wird die Umsetzung von Light Detection And Ranging-Simulationsmodellen in Simulationsumgebungen abgebildet. Den Simulink-Modellen liegen dabei zwei klassische Receiverschaltungen von Lidarsystemen zugrunde. Zum Einen die Realisierung mit Single-Photon-Avalanche-Diode und zum Anderen die mit klassischen Photodioden. Die Sensorumgebung wird hierbei mit der Lidar-Range-Equation angenähert. Zur Simulation wird das Paket Simscape in Simulink genutzt.&#13;
&#13;
Neben dem physikalischen Simulationsmodell soll ein Sensormodell eines 3D-Flash-Light Detection And Ranging-System umgesetzt und simuliert werden. Aus einem Vergleich von VR-Simulationssoftwaretools ergab sich, dass die Verwirklichung mit CarMaker vorgenommen wird. Hierbei werden die zur Verfügung gestellten Modellierungsmöglichkeiten in der Nachbearbeitung in Simulink so angepasst, dass die Funktionalität der des reellen Flash-Light Detection And Rangings entspricht. Die Ergebnisse werden mit Robot Operating System zur weiteren Verarbeitung und Visualisierung versendet.&#13;
&#13;
Aufgrund der rechenintensiven Implementierung der Co-Simulation wird eine alternative Umsetzung, die ein direktes Versenden von Daten aus CarMaker über ein Robot Operating System-Interface beinhalten soll, ausgewählt. Somit werden die Daten über ein Phyton-Skript abonniert, bearbeitet und deren Ergebnisse über RViz ausgegeben. Dies bildet gewisse Vor- und Nachteile, welche in dieser Arbeit aufgeführt werden.&#13;
&#13;
Das Testen der Simulationsmodelle wird dabei anhand von Vergleichen mit realen Sensoren geschaffen. Diese sind der SECO-RANGEFINDER-GEVK von onsemi und ein High Resolution 3D Flash Lidar von Continental. Die Messfehler und deren Abhängigkeit von vordefinierten Parametern werden beleuchtet.&#13;
&#13;
Zuletzt werden die Simulationen und Messungen ausgewertet und ein Fazit der Bearbeitung mit einem Ausblick gezogen.</abstract>
    <identifier type="urn">urn:nbn:de:bvb:573-33398</identifier>
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    <advisor>
      <first_name>Gordon</first_name>
      <last_name>Elger</last_name>
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    <author>
      <first_name>Michael Jörg</first_name>
      <last_name>Dornseifer</last_name>
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    <advisor>
      <first_name>Andreas</first_name>
      <last_name>Festag</last_name>
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    <collection role="degree_programme" number="19350">Elektrotechnik mobiler Systeme (M. Eng.)</collection>
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    <publishedYear>2023</publishedYear>
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    <pageLast/>
    <pageNumber>11</pageNumber>
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    <issue>218</issue>
    <volume>2023</volume>
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    <publisherName>Elsevier</publisherName>
    <publisherPlace>Amsterdam</publisherPlace>
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    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2023-03-30</completedDate>
    <publishedDate>--</publishedDate>
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    <title language="eng">Experimental investigation of parasitic side effects in MOSFET-based multilevel inverter for electric vehicle applications</title>
    <parentTitle language="eng">Electric Power Systems Research</parentTitle>
    <identifier type="issn">1873-2046</identifier>
    <identifier type="issn">0378-7796</identifier>
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      <first_name>Julia</first_name>
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    <author>
      <first_name>Christian</first_name>
      <last_name>Hanzl</last_name>
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    <author>
      <first_name>Christian</first_name>
      <last_name>Endisch</last_name>
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    <collection role="institutes" number="19320">Institut für Innovative Mobilität (IIMo)</collection>
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    <id>3326</id>
    <completedYear>2023</completedYear>
    <publishedYear>2021</publishedYear>
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    <pageFirst/>
    <pageLast/>
    <pageNumber>75, XVII</pageNumber>
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    <completedDate>2023-03-30</completedDate>
    <publishedDate>2021-11-26</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">Automatisierung eines Mess-Standes zur Qualifizierung von Leistungs-Halbleitern</title>
    <abstract language="deu">Halbleiter-Schalter wie MOSFETs und IGBTs sind die wichtigsten Komponenten jedes Leistung-Elektronik-Moduls und benötigen eine gesonderte Überprüfung um die Qualität des Produkts zu garantieren. Die manuelle Vermessung der wichtigsten Größen wie Durchburchspannung, Leckströme und Kennlinienfeld stellt sich in der Praxis jedoch als sehr Zeitaufwendig dar. Deshalb wird im Rahmen dieser Bachelorarbeit ein Messstand zur Vermessung der wichtigsten Kenngrößen eines kommerziellen Umrichters automatisiert und die Messwerte anschließend mit den Erwartungswerten verglichen.</abstract>
    <identifier type="urn">urn:nbn:de:bvb:573-33269</identifier>
    <enrichment key="opus.import.date">2023-03-30T06:20:24+00:00</enrichment>
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    <advisor>
      <first_name>Gordon</first_name>
      <last_name>Elger</last_name>
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    <author>
      <first_name>Jochen</first_name>
      <last_name>Haas</last_name>
    </author>
    <advisor>
      <first_name>Ulrich</first_name>
      <last_name>Schmidt</last_name>
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    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="degree_programme" number="19346">Mechatronik (B. Eng.)</collection>
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  <doc>
    <id>3317</id>
    <completedYear>2023</completedYear>
    <publishedYear>2021</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>VI, 75</pageNumber>
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    <completedDate>2023-03-29</completedDate>
    <publishedDate>2021-11-01</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">Integration eines virtuellen Steuergeräts an einem Hardware in the Loop Prüfstand</title>
    <identifier type="urn">urn:nbn:de:bvb:573-33173</identifier>
    <enrichment key="opus.import.date">2023-03-29T10:37:49+00:00</enrichment>
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      <first_name>Thomas</first_name>
      <last_name>Schiele</last_name>
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      <first_name>Michael</first_name>
      <last_name>Bayerlein</last_name>
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    <advisor>
      <first_name>Christian</first_name>
      <last_name>Endisch</last_name>
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    <publishedDate>2021-10-15</publishedDate>
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    <title language="deu">Analyse und Umsetzung eines Manöverplaners in Autobahnumgebungen mittels Unity</title>
    <identifier type="urn">urn:nbn:de:bvb:573-33146</identifier>
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      <first_name>Nadine Leonie</first_name>
      <last_name>Schwarz</last_name>
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    <advisor>
      <first_name>Michael</first_name>
      <last_name>Botsch</last_name>
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    <thesisPublisher>Technische Hochschule Ingolstadt</thesisPublisher>
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    <id>3312</id>
    <completedYear>2023</completedYear>
    <publishedYear>2021</publishedYear>
    <thesisYearAccepted/>
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    <completedDate>2023-03-29</completedDate>
    <publishedDate>2021-10-12</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">Konzeptentwicklung zur Konvertierung und Speicherung bestehender Gerätedaten am Beispiel von Spezialtiefbaumaschinen</title>
    <abstract language="deu">In dieser Abschlussarbeit wird ein Konzept zur Konvertierung und Speicherung bestehender Gerätedaten am Beispiel von Spezialtiefbaumaschinen entwickelt. Dazu wird im ersten Kapitel die BAUER Maschinen GmbH und der momentane Istzustand der Daten von der Erfassung bis zur Speicherung vorgestellt. Anschließend wird die Theorie der Datenerfassung und deren Umsetzung und Speicherung bei der Firma Bauer erläutert. Im Anschluss an diese theoretischen Abschnitte werden die Konzepte der Konvertierung und Speicherung vorhandener Maschinendaten erklärt und die Konzepte bewertet und verglichen. Nach dem finalen Vergleich der beiden Konzepte schließt diese Arbeit mit einem alternativen Lösungsvorschlag und möglichen Optimierungspotentialen.</abstract>
    <identifier type="urn">urn:nbn:de:bvb:573-33124</identifier>
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      <first_name>Roman Josef</first_name>
      <last_name>Haberl</last_name>
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    <advisor>
      <first_name>Lorenz</first_name>
      <last_name>Gaul</last_name>
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    <completedDate>2023-03-29</completedDate>
    <publishedDate>2021-10-18</publishedDate>
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    <title language="eng">Simulation based tire sizing methodology according to the Pi-Buckingham-Theorem</title>
    <identifier type="urn">urn:nbn:de:bvb:573-33105</identifier>
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    <advisor>
      <first_name>Christian</first_name>
      <last_name>Birkner</last_name>
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    <author>
      <first_name>Christina</first_name>
      <last_name>Cerci</last_name>
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    <advisor>
      <first_name>Ondrej</first_name>
      <last_name>Vaculin</last_name>
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    <collection role="degree_programme" number="19350">Elektrotechnik mobiler Systeme (M. Eng.)</collection>
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    <completedDate>2023-03-29</completedDate>
    <publishedDate>2023-03-08</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">Konstruktion und Konzeption eines geschlossenen Gehäuses zum Drucken von ABS mit Remotefunktion und Temperaturregelung</title>
    <abstract language="deu">Konstruktion und Konzeption eines geschlossenen Gehäuses zum Drucken von ABS mit Remotefunktion und Temperaturregelung</abstract>
    <identifier type="urn">urn:nbn:de:bvb:573-33094</identifier>
    <enrichment key="opus.import.date">2023-03-29T06:12:19+00:00</enrichment>
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    <licence>Urheberrechtsschutz</licence>
    <advisor>
      <first_name>Robert</first_name>
      <last_name>Hermann</last_name>
    </advisor>
    <author>
      <first_name>Lukas</first_name>
      <last_name>Meir</last_name>
    </author>
    <advisor>
      <first_name>Gordon</first_name>
      <last_name>Elger</last_name>
    </advisor>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="degree_programme" number="19345">Elektro- und Informationstechnik (B. Eng.)</collection>
    <collection role="Import" number="deepgreen">DeepGreen</collection>
    <thesisPublisher>Technische Hochschule Ingolstadt</thesisPublisher>
    <thesisGrantor>Technische Hochschule Ingolstadt</thesisGrantor>
    <file>https://opus4.kobv.de/opus4-haw/files/3309/I001396178Abschlussarbeit.pdf</file>
  </doc>
  <doc>
    <id>3307</id>
    <completedYear>2023</completedYear>
    <publishedYear>2021</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>III, 71</pageNumber>
    <edition/>
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    <volume/>
    <articleNumber/>
    <type>masterthesis</type>
    <publisherName/>
    <publisherPlace>Ingolstadt</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2023-03-28</completedDate>
    <publishedDate>2021-09-14</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Development of 3D simulation environment for testing and calibration of autonomous vehicles</title>
    <abstract language="eng">Real-world testing is crucial for developing and scaling autonomous vehicles but virtual testing has an edge over the traffic and vehicle safety, repeatability of the scenarios and test cases, SW to HW calibration. The 3D simulation environment testing is one of the complex tasks in autonomous vehicles development and research task. This thesis is focused on the development of that near similar dynamic behavior of the vehicle and the environmental conditions such as rain, cloudy, sunny, and foggy weather. The study is undertaken for the development and calibration of the Renault Twizy in the Carla simulation environment using Unreal Engine 4.24, along with building and testing driving scenarios, then after setting up ROS-Bridge to act as a middleware between Autoware.ai and Carla simulator. A brief study is also carried over the Autoware.ai and various other autonomous stacks which will be further used as our standard platform for the computation, and processing of algorithms and data for our vehicle.</abstract>
    <identifier type="urn">urn:nbn:de:bvb:573-33078</identifier>
    <enrichment key="opus.import.date">2023-03-28T12:43:28+00:00</enrichment>
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    <licence>Urheberrechtsschutz</licence>
    <advisor>
      <first_name>Ondrej</first_name>
      <last_name>Vaculin</last_name>
    </advisor>
    <author>
      <first_name>Parth Hasmukhbhai</first_name>
      <last_name>Patel</last_name>
    </author>
    <advisor>
      <first_name>Armin</first_name>
      <last_name>Arnold</last_name>
    </advisor>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="degree_programme" number="19351">International Automotive Engineering (M. Eng.)</collection>
    <collection role="Import" number="deepgreen">DeepGreen</collection>
    <thesisPublisher>Technische Hochschule Ingolstadt</thesisPublisher>
    <thesisGrantor>Technische Hochschule Ingolstadt</thesisGrantor>
    <file>https://opus4.kobv.de/opus4-haw/files/3307/I000993437Thesis.pdf</file>
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  <doc>
    <id>3305</id>
    <completedYear>2023</completedYear>
    <publishedYear>2021</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>ix, 71</pageNumber>
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    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2023-03-28</completedDate>
    <publishedDate>2021-09-15</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">A real time face detection</title>
    <abstract language="eng">Deep convolutional neural networks have been achieving the state-of-art results on the many computer vision tasks (i.e., object detection, object recognition, instance segmentation, semantic segmentation and many more). However, deep-CNNs are very difficult to utilize for real time applications (Autonomous driving, Driver occupant monitoring systems etc.) and hard to deploy on small devices (Mobile, Embedded system, FPGAs and many more), due to their size. Therefore, in this project, modern object detector (YOLOv4-tiny) is trained on wider-face dataset with BOF(Bag of Freebies) and BOS(Bag of Special) strategies to detect the faces robustly and final network is also compressed to deploy on the portable devices with limited resources. Proposed face detector achieves 90.04% mAP, 80.88% mAP, 73.20% mAP on easy, medium and hard categories of the customized wider face dataset, respectively with occupying only 9,5MB storage.</abstract>
    <identifier type="urn">urn:nbn:de:bvb:573-33055</identifier>
    <enrichment key="opus.import.date">2023-03-28T12:11:37+00:00</enrichment>
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    <advisor>
      <first_name>Alessandro</first_name>
      <last_name>Zimmer</last_name>
    </advisor>
    <author>
      <first_name>Kairavkumar Sharadkumar</first_name>
      <last_name>Patel</last_name>
    </author>
    <advisor>
      <first_name>Thomas</first_name>
      <last_name>Brandmeier</last_name>
    </advisor>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="degree_programme" number="19351">International Automotive Engineering (M. Eng.)</collection>
    <collection role="Import" number="deepgreen">DeepGreen</collection>
    <thesisPublisher>Technische Hochschule Ingolstadt</thesisPublisher>
    <thesisGrantor>Technische Hochschule Ingolstadt</thesisGrantor>
    <file>https://opus4.kobv.de/opus4-haw/files/3305/I000993590Thesis.pdf</file>
  </doc>
  <doc>
    <id>3294</id>
    <completedYear>2023</completedYear>
    <publishedYear>2023</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>VI, 68</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <articleNumber/>
    <type>bachelorthesis</type>
    <publisherName/>
    <publisherPlace>Ingolstadt</publisherPlace>
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    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2023-03-28</completedDate>
    <publishedDate>2023-02-27</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">Entwicklung eines Systemkostenmodells sowie einer graphischen Benutzeroberfläche zur Gestaltung und Bewertung von Multilevel Inverter Topologien und deren Parametern</title>
    <identifier type="urn">urn:nbn:de:bvb:573-32942</identifier>
    <enrichment key="opus.import.date">2023-03-28T08:05:24+00:00</enrichment>
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    <licence>Urheberrechtsschutz</licence>
    <advisor>
      <first_name>Christian</first_name>
      <last_name>Endisch</last_name>
    </advisor>
    <author>
      <first_name>Michael Karl</first_name>
      <last_name>Kiesewetter</last_name>
    </author>
    <advisor>
      <first_name>Thomas</first_name>
      <last_name>Schiele</last_name>
    </advisor>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="degree_programme" number="19344">Elektrotechnik und Elektromobilität (B. Eng.)</collection>
    <collection role="Import" number="deepgreen">DeepGreen</collection>
    <thesisPublisher>Technische Hochschule Ingolstadt</thesisPublisher>
    <thesisGrantor>Technische Hochschule Ingolstadt</thesisGrantor>
    <file>https://opus4.kobv.de/opus4-haw/files/3294/I001383192Abschlussarbeit.pdf</file>
  </doc>
  <doc>
    <id>3293</id>
    <completedYear>2023</completedYear>
    <publishedYear>2023</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>54</pageNumber>
    <edition/>
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    <articleNumber/>
    <type>bachelorthesis</type>
    <publisherName/>
    <publisherPlace>Ingolstadt</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2023-03-28</completedDate>
    <publishedDate>2023-02-27</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">Automatisierte Charakterisierung von Leistungs-MOSFETs zur Qualitätssicherung</title>
    <identifier type="urn">urn:nbn:de:bvb:573-32938</identifier>
    <enrichment key="opus.import.date">2023-03-28T08:00:22+00:00</enrichment>
    <enrichment key="opus.source">sword</enrichment>
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    <licence>Urheberrechtsschutz</licence>
    <advisor>
      <first_name>Gordon</first_name>
      <last_name>Elger</last_name>
    </advisor>
    <author>
      <first_name>Elias</first_name>
      <last_name>Hufnagel</last_name>
    </author>
    <advisor>
      <first_name>Robert</first_name>
      <last_name>Hermann</last_name>
    </advisor>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="degree_programme" number="19344">Elektrotechnik und Elektromobilität (B. Eng.)</collection>
    <collection role="Import" number="deepgreen">DeepGreen</collection>
    <thesisPublisher>Technische Hochschule Ingolstadt</thesisPublisher>
    <thesisGrantor>Technische Hochschule Ingolstadt</thesisGrantor>
    <file>https://opus4.kobv.de/opus4-haw/files/3293/I001382993Abschlussarbeit.pdf</file>
  </doc>
  <doc>
    <id>3292</id>
    <completedYear>2023</completedYear>
    <publishedYear>2023</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>69</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <articleNumber/>
    <type>bachelorthesis</type>
    <publisherName/>
    <publisherPlace>Ingolstadt</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2023-03-28</completedDate>
    <publishedDate>2023-03-01</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">Auslegung, Simulation und Validierung einer dq-Stromregelung für einen Leistungsmodulprüfstand mit einphasiger Last</title>
    <abstract language="deu">Im Rahmen dieser Arbeit wurde eine entkoppelte dq-Stromregelung auf einem Leistungsmodul-Prüfstand durchgeführt. Eine Inverter-Topologie mit drei Halbbrücken wurde in zwei einphasige Teilsysteme symmetrisch verteilt. Anhand dieses Aufbaus konnte das System für die Stromregelung als Einphasensystem betrachtet werden. Die ideale Auslegung wurde so durchgeführt, dass der Endwert innerhalb von 300 ms mit 1 % Toleranz erreicht wird. Bei der Implementierung der dq-Regelstruktur auf dem Prüfstand sollte der Endwert jedoch innerhalb von maximal 1000 ms mit ±5 % Toleranz erreicht werden. Mithilfe der Systemanalyse wurde festgestellt, dass die Totzeit im System die ausgelegte Reaktionszeit von 300 ms auf 735 ms verlängert.&#13;
Mithilfe eines selbst entworfenen Simulationsmodells wurde die ausgelegte dq-Regelstruktur geprüft und abschließend auf dem Prüfstand implementiert. Der stationäre Zustand wurde innerhalb von ca. 760ms, ähnlich wie bei der Simulation, erreicht. Eine stationäre Regelabweichung innerhalb des Toleranzbands von ±5 % konnte ebenfalls anhand der Messaufnahmen festgestellt werden.</abstract>
    <identifier type="urn">urn:nbn:de:bvb:573-32921</identifier>
    <enrichment key="opus.import.date">2023-03-28T07:53:02+00:00</enrichment>
    <enrichment key="opus.source">sword</enrichment>
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    <licence>Urheberrechtsschutz</licence>
    <advisor>
      <first_name>Rudolf</first_name>
      <last_name>Gregor</last_name>
    </advisor>
    <author>
      <first_name>Liliana Janeth</first_name>
      <last_name>Contreras Gutierrez</last_name>
    </author>
    <advisor>
      <first_name>Robert</first_name>
      <last_name>Hermann</last_name>
    </advisor>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="degree_programme" number="19346">Mechatronik (B. Eng.)</collection>
    <collection role="Import" number="deepgreen">DeepGreen</collection>
    <thesisPublisher>Technische Hochschule Ingolstadt</thesisPublisher>
    <thesisGrantor>Technische Hochschule Ingolstadt</thesisGrantor>
    <file>https://opus4.kobv.de/opus4-haw/files/3292/I001385409Abschlussarbeit.pdf</file>
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  <doc>
    <id>3266</id>
    <completedYear>2023</completedYear>
    <publishedYear>2021</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>85</pageNumber>
    <edition/>
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    <articleNumber/>
    <type>bachelorthesis</type>
    <publisherName/>
    <publisherPlace>Ingolstadt</publisherPlace>
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    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2023-03-24</completedDate>
    <publishedDate>2021-05-17</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">Automatisierte Integration von Sensoren in mittels Laser-Strahlschmelzen gefertigte Metallbauteile</title>
    <abstract language="deu">In dieser Arbeit wurde eine Kinematik zur automatisierten Sensorintegration während des Laserstrahlschmelzens realisiert. Diese bietet wesentliche Vorteile im Vergleich zur Vorgängerkinematik. Um dies zu erreichen wurden zu Beginn der Arbeit einige vorausgehende Untersuchungen wie z. B. zur Fertigung von Testbauteilen mit der Vorgängerkinematik (Kapitel 4.1), der Analyse der Prozesskette einer Sensorintegration (Kapitel 4.2), sowie zu daraus hervorgehenden Optimierungsanforderungen (Kapitel 4.3) an ein optimiertes System, durchgeführt. Diese Voruntersuchungen galten der Ermittlung von Schwachpunkten im System. Außerdem wurde die Realisierung eines ganzheitlich neuen Kinematikkonzepts, welches die vorrausgehende Kinematik nicht zum Vorbild hatte, erwogen (siehe Kapitel 4.5). Resultierend daraus wurde die Entscheidung gegen eine solche Neuentwicklung getroffen, da diese keine Verwendung von standardisierten Kinematikbauteilen zuließ. Somit ging es nun um die Optimierungsmöglichkeiten der bereits bestehenden Kinematik.&#13;
Die Voruntersuchungen ergaben diesbezüglich im Grunde drei Gebiete mit signifikantem Verbesserungspotential. Bessere Hardware (Sensorik), einfachere Ansteuerung der Kinematik und mathematische Berechnung der benötigten Koordinaten anstatt experimenteller Ermittlung. Der Optimierung dieser drei Punkte wurde sich in jeweils einem eigenen Kapitel gewidmet.&#13;
In Kapitel 5.1 wurden die Linearachsen mit Encodern an allen antreibenden Elektromotoren ausgestattet um die gesamte kinematische Genauigkeit in allen Aspekten zu verbessern (sowohl Absolut- als auch Wiederholgenauigkeit). Dies wurde durch die anschließende Messung der Anfahrgenauigkeit und der Gegenüberstellung dieser Ergebnisse mit den Genauigkeitswerten der Ausgangskinematik verifiziert. So wurden sowohl die mittlere als auch die maximale Positionstreubreite, welche zuvor bei mehreren Millimetern lagen, auf Null reduziert (Messunsicherheit: +/- 0, 1 mm).&#13;
Um die Ansteuerung der Kinematik zu vereinfachen wurde in Kapitel 5.2.1 die bis dahin verwendete Beckhoff SPS durch eine neue Steuerungseinheit der Firma IGUS ersetzt. Diese bringt eine eigene Programmierumgebung mit sich (sog. IGUS Robot Control), welche durch eine graphische Benutzeroberfläche Übersichtlichkeit schafft und keine besonders tiefen Programmierkenntnisse erfordert. Im Zuge dessen wurde der Integrationsprozess softwareseitig auf Basis eines Zustandsautomaten neu entwickelt. Wichtiger Bestandteil davon ist die Kommunikation der Laserstrahlschmelzanlage (AconityOne) mit dem Beschichtermodul, welches die restlichen Achsen und die Pneumatik für die beiden Endeffektoren beherbergt.&#13;
Um die benötigten Koordinaten für die Befehle der Kinematik mit möglichst geringem Aufwand erhalten zu können, wurde in Kapitel 5.2.2 ein Berechnungstool in Microsoft Excel entwickelt. Dieses benötigt als Dateninput nur die maximalen Außenmaße eines Bauteils, in das es einen Sensor zu integrieren gilt, die Positionseigenschaften der Sensorkavität in diesem Bauteil und die Position an welche das Bauteil auf der Bauplattform angeordnet wurde. Dann können mittels Multiplikation von Transformationsmatrizen die relevanten Koordinaten für die Integrationskinematik ausgerechnet und in das Steuerungsprogramm eingefügt werden. &#13;
Mit welcher Genauigkeit diese berechneten Koordinaten mit der Realität übereinstimmen wurde in Kapitel 6.3 überprüft. Diese Ergebnisse zeigen eine Transformationsgenauigkeit von 2, 78mm +/- 2, 68mm. Das Excel-Tool ist damit ein Kompromiss, welcher die größtmöglichen Positionsfehler vermeidet (Augenmaß bei experimentellen Vorversuchen) und eine einigermaßen benutzerfreundliche Bedienung erlaubt. Eine nahezu hundertprozentige Übereinstimmung wird mit dieser Art Rechen-Tool kaum erreichbar sein, da Anteile der Toleranzkette zwischen Realität und mathematischem Modell noch nicht beachtet werden bzw. auch schwer in der jetzigen Form realisierbar sind. So z. B. die Verzerrung der Bauteildimensionen durch die Laseroptik oder das Schrumpfen der Bauteile durch das Aufschmelzen und Aushärten zu extrem dichten Materialgebilden. Um die Genauigkeit weiter zu steigern, müsste man diese Toleranzkette noch genauer untersuchen und z. B. in umfangreicheren Simulationstools nachbilden.&#13;
Um weitere Vergleichswerte zu den hier erzielten Daten zu erhalten, wird empfohlen mit der optimierten Kinematikkonfiguration erneut Proben mit integrierten Sensoren zu produzieren. Diese Proben können dann mit denen, die in dieser Arbeit untersucht wurden, direkt verglichen werden. Potential zur Eröffnung weiterer Möglichkeiten bietet evtl. die Erweiterung der Kinematik um eine rotatorische&#13;
Achse am Ende der kinematischen Kette (an den Endeffektoren) an. Somit könnten Sensoren auch in verschiedenen Orientierungsrichtungen in Bauteile integriert werden.&#13;
Schaut man auf die in Kapitel 4.3 gestellten Pflichtanforderungen zurück, so werden diese alle erfüllt. Die Kinematik kann zwei Endeffektoren frei über der Bauplattform positionieren ohne dabei den LBM-Prozess zu behindern. Der Arbeitsraum der Kinematik reicht auch aus um über die Bauplattform hinaus ein, in der Prozesskammer positioniertes, Komponentenmagazin mit enthaltenen Sensoren zu erreichen. Die kontinuierliche Überwachung und die damit einhergehende Positionsbestimmung des Systems sorgen für eine stark verbesserte Wiederholgenauigkeit. Das Zusammenspiel zwischen Laserstrahlschmelzprozess und Sensorintegrationsprozess ist durch die Kommunikation über eine Schnittstelle von High- und Low-Signalen gewährleistet. Was die Standhaftigkeit des Systems gegenüber den harten Umwelteinflüssen innerhalb der Prozesskammer angeht müssen diesbezüglich noch Versuche unter eben diesen Prozessbedingungen durchgeführt werden, damit dahingehend genauere Aussagen getroffen werden können. Was die Wunsch- und Anregungsanforderungen (Punkt 4.3.2 und 4.3.3) angeht so sind diese realistische Ziele um in, auf dieser Arbeit aufbauenden weiteren Entwicklungen, erreicht werden zu können.</abstract>
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    <advisor>
      <first_name>Gordon</first_name>
      <last_name>Elger</last_name>
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    <author>
      <first_name>Till</first_name>
      <last_name>Neumann</last_name>
    </author>
    <advisor>
      <first_name>Ulrich</first_name>
      <last_name>Schmidt</last_name>
    </advisor>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="degree_programme" number="19346">Mechatronik (B. Eng.)</collection>
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    <thesisPublisher>Technische Hochschule Ingolstadt</thesisPublisher>
    <thesisGrantor>Technische Hochschule Ingolstadt</thesisGrantor>
    <file>https://opus4.kobv.de/opus4-haw/files/3266/I000866463Abschlussarbeit.pdf</file>
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    <id>3262</id>
    <completedYear>2023</completedYear>
    <publishedYear>2021</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>VI, 47</pageNumber>
    <edition/>
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    <type>bachelorthesis</type>
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    <completedDate>2023-03-24</completedDate>
    <publishedDate>2021-03-24</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">Konzeption einer Methode zur differenzierteren Auswahl eines Projektmanagementansatzes anhand qualifizierter Bewertungskriterien und der Stacey-Matrix</title>
    <abstract language="deu">In dieser Bachelorarbeit wurden drei Methoden konzipiert, die als Hilfsmittel zur Auswahl eines Projektmanagementansatzes genutzt werden können. &#13;
Der Hintergrund dieser Konzeption war die Frage „Wie finde ich den richtigen Projektmanagementansatz?“. Denn aus den bisherigen Hilfsmodellen Stacey-Matrix und Cynefin-Framework ergab sich, dass diese die Frage nur unzureichend beantworten und damit eine limitierte Betrachtung widerspiegeln. Des Weiteren sind diese zum einen nicht mehr zeitgemäß und zum anderen stark von der Kompetenz des Anwenders abhängig. Die aus der Analyse abgeleiteten Schwächen, aber auch Stärken der bisherigen Hilfsmodelle wurden in der Konzeptionsphase für die Anforderungen an die eigene Methode genutzt. Die Umsetzung der Anforderungen ergab mit Hilfe der Ausarbeitung von qualifizierten Bewertungskriterien drei Methoden. Diese konzipierten Methoden beruhen auf zwei unterschiedlichen Ansätzen, die in den Darstellungsformen von zwei Netzdiagrammen und einem Dreieck gemündet sind. &#13;
Alle drei konzipierten Methoden können dem Anwender einen Nutzen bieten, auch wenn dieser unterschiedlich aufgrund der verschiedenen Ansätze ist. Denn auch wenn die Darstellungsform als Dreieck einfach zu bedienen ist, einen geringen Bearbeitungsaufwand hat und eine differenziertere Betrachtung liefert durch eine individuelle Auswahl des dritten Kriteriums, hat sie nur einen limitierten Nutzen und stellt somit lediglich eine Erweiterung der Stacey-Matrix dar. Die Netzdiagramme in der Variante mit sechs beziehungsweise vier Bewertungskriterien haben einen breiteren Nutzen durch mehr Bewertungskriterien. Dafür benötigen diese einen höheren Bearbeitungsaufwand und können trotz der übersichtlichen Gestaltung das Ergebnis nicht immer präzise wiedergeben. Zudem kann ohne eine digitale Implementierung keine individuelle Differenzierung vorgenommen werden. Die konzipierten Modelle berücksichtigen jedoch mit den qualifizierten Bewertungskriterien unter anderem den zunehmenden Einfluss agiler Eigenschaften und sorgen für eine genauere und aktuellere Abbildung der Realität, sodass die konzipierten Methoden gegenüber den bisherigen Hilfsmodellen eine differenziertere Betrachtung bei der Auswahl eines Projektmanagementansatzes bieten. Eine korrekte Anwendung und eine richtige Interpretation der Bewertungskriterien setzen diesen aber voraus, sodass auch die qualifizierten Bewertungskriterien eine Fehlerquote aufweisen können. Diese Abhängigkeit von der Kompetenz des Anwenders wird auch bei dem Rückschluss auf einen Projektmanagementansatz entscheidend, da die konzipierten Methoden nur indirekt eine Auswahl ermöglichen. Die Interpretation des Ergebnisses und die Ableitung zu einem Projektmanagementansatz bleiben dem Anwender überlassen. Dennoch bieten die konzipierten Methoden mit diesem Mittelweg eine gute Möglichkeit zur Beantwortung der Ausgangsfrage und können in Summe die gestellten Anforderungen erfüllen.</abstract>
    <identifier type="urn">urn:nbn:de:bvb:573-32625</identifier>
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    <author>
      <first_name>Niklas Wilhelm</first_name>
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    <advisor>
      <first_name>Ernst-Heinrich</first_name>
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    <title language="eng">Nonlinear Equivariant Imaging: Learning Multi-Parametric Tissue Mapping without Ground Truth for Compressive Quantitative MRI</title>
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    <author>
      <first_name>Ketan</first_name>
      <last_name>Fatania</last_name>
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    <author>
      <first_name>Kwai Y.</first_name>
      <last_name>Chau</last_name>
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      <first_name>Carolin</first_name>
      <last_name>Pirkl</last_name>
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      <first_name>Marion Irene</first_name>
      <last_name>Menzel</last_name>
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    <author>
      <first_name>Mohammad</first_name>
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      <value>Quantitative MRI</value>
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    <subject>
      <language>eng</language>
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      <value>Magnetic Resonance Fingerprinting</value>
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    <subject>
      <language>eng</language>
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      <value>Compressed Sensing</value>
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    <subject>
      <language>eng</language>
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      <value>Inverse Problems</value>
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    <subject>
      <language>eng</language>
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      <value>Self-Supervised Deep Learning</value>
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    <subject>
      <language>eng</language>
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      <value>Equivariant Imaging</value>
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    <pageNumber>38</pageNumber>
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    <publisherName>arXiv</publisherName>
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    <title language="eng">Uncertainty quantification for sparse Fourier recovery</title>
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    <author>
      <first_name>Frederik</first_name>
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    <author>
      <first_name>Felix</first_name>
      <last_name>Krahmer</last_name>
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    <author>
      <first_name>Claudio Mayrink</first_name>
      <last_name>Verdun</last_name>
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    <author>
      <first_name>Marion Irene</first_name>
      <last_name>Menzel</last_name>
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    <author>
      <first_name>Holger</first_name>
      <last_name>Rauhut</last_name>
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    <publishedYear>2023</publishedYear>
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    <pageNumber>19</pageNumber>
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    <publisherName>MDPI</publisherName>
    <publisherPlace>Basel</publisherPlace>
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    <title language="eng">Multi-Sensor Data Fusion for Real-Time Multi-Object Tracking</title>
    <abstract language="eng">Sensor data fusion is essential for environmental perception within smart traffic applications. By using multiple sensors cooperatively, the accuracy and probability of the perception are increased, which is crucial for critical traffic scenarios or under bad weather conditions. In this paper, a modular real-time capable multi-sensor fusion framework is presented and tested to fuse data on the object list level from distributed automotive sensors (cameras, radar, and LiDAR). The modular multi-sensor fusion architecture receives an object list (untracked objects) from each sensor. The fusion framework combines classical data fusion algorithms, as it contains a coordinate transformation module, an object association module (Hungarian algorithm), an object tracking module (unscented Kalman filter), and a movement compensation module. Due to the modular design, the fusion framework is adaptable and does not rely on the number of sensors or their types. Moreover, the method continues to operate because of this adaptable design in case of an individual sensor failure. This is an essential feature for safety-critical applications. The architecture targets environmental perception in challenging time-critical applications. The developed fusion framework is tested using simulation and public domain experimental data. Using the developed framework, sensor fusion is obtained well below 10 milliseconds of computing time using an AMD Ryzen 7 5800H mobile processor and the Python programming language. Furthermore, the object-level multi-sensor approach enables the detection of changes in the extrinsic calibration of the sensors and potential sensor failures. A concept was developed to use the multi-sensor framework to identify sensor malfunctions. This feature will become extremely important in ensuring the functional safety of the sensors for autonomous driving.</abstract>
    <parentTitle language="eng">Processes</parentTitle>
    <identifier type="issn">2227-9717</identifier>
    <identifier type="urn">urn:nbn:de:bvb:573-31989</identifier>
    <enrichment key="opus.import.date">2023-03-08T03:33:58+00:00</enrichment>
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    <licence>Creative Commons BY 4.0</licence>
    <author>
      <first_name>Numan</first_name>
      <last_name>Senel</last_name>
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    <author>
      <first_name>Klaus</first_name>
      <last_name>Kefferpütz</last_name>
    </author>
    <author>
      <first_name>Kristina</first_name>
      <last_name>Doycheva</last_name>
    </author>
    <author>
      <first_name>Gordon</first_name>
      <last_name>Elger</last_name>
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    <subject>
      <language>eng</language>
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      <value>environmental perception</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>sensor fusion</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>autonomous vehicle</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>unscented Kalman filter</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>object tracking</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>roadside units</value>
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    <file>https://opus4.kobv.de/opus4-haw/files/3198/processes-11-00501-v3.pdf</file>
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    <title language="deu">Fahrerassistenzsysteme – Herausforderungen &amp; Chancen für die forensische Unfallanalyse</title>
    <parentTitle language="deu">Zeitschrift für Verkehrssicherheit</parentTitle>
    <identifier type="url">https://www.kirschbaum.de/fachzeitschriften/zeitschrift-fuer-verkehrssicherheit/zvs/aktuelles-heft-6.html#c11330</identifier>
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      <first_name>Maximilian</first_name>
      <last_name>Bauder</last_name>
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      <first_name>Thomas</first_name>
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      <first_name>Klaus</first_name>
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      <first_name>Tibor</first_name>
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      <first_name>Hans-Georg</first_name>
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    <publishedYear>2021</publishedYear>
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    <publisherName>Kaunas University of Technology</publisherName>
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    <title language="eng">Autonomous Emergency Braking (AEB) Experiments for Traffic Accident&#13;
Reconstruction</title>
    <parentTitle language="deu">Transport Means 2021: Proceedings of the 25th International Scientific Conference - Part I</parentTitle>
    <identifier type="issn">2351-7034</identifier>
    <identifier type="issn">1822-296X</identifier>
    <identifier type="url">https://transportmeans.ktu.edu/transport-means-2021/</identifier>
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    <author>
      <first_name>Daniel</first_name>
      <last_name>Paula</last_name>
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    <author>
      <first_name>Klaus</first_name>
      <last_name>Böhm</last_name>
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    <author>
      <first_name>Tibor</first_name>
      <last_name>Kubjatko</last_name>
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    <author>
      <first_name>Hans-Georg</first_name>
      <last_name>Schweiger</last_name>
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    <subject>
      <language>eng</language>
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      <value>Autonomous Emergency Braking (AEB)</value>
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    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Instrument Cluster</value>
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    <subject>
      <language>eng</language>
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      <value>Event Data Recorder (EDR)</value>
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    <title language="eng">Application of Low-cost Pulse Radar for Heart Rate Detection in Vehicle Interior</title>
    <parentTitle language="eng">Sensors and Electronic Instrumentation Advances: Proceedings of the 6th International Conference on Sensors and Electronic Instrumentation Advances and Frequency &amp; Time: Proceedings of the 2nd IFSA Frequency &amp; Time Conference</parentTitle>
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      <first_name>Lucas</first_name>
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    <editor>
      <first_name>Sergey Y.</first_name>
      <last_name>Yurish</last_name>
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    <author>
      <first_name>Maria L.R.</first_name>
      <last_name>Okimoto</last_name>
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      <first_name>Marta</first_name>
      <last_name>Pereira Cocron</last_name>
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      <first_name>Alessandro</first_name>
      <last_name>Zimmer</last_name>
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      <first_name>Thomas</first_name>
      <last_name>Brandmeier</last_name>
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    <publisherName>Kaunas University of Technology</publisherName>
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    <title language="eng">Performance Tests of the Tesla Autopilot and VW Travel Assist on a Rural Road</title>
    <parentTitle language="eng">Transport Means 2022: Proceedings of the 26th International Scientific Conference - Part II</parentTitle>
    <identifier type="issn">2351-7034</identifier>
    <identifier type="issn">1822-296X</identifier>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.5755/e01.2351-7034.2022.P2</enrichment>
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    <author>
      <first_name>Daniel</first_name>
      <last_name>Paula</last_name>
    </author>
    <author>
      <first_name>Thomas</first_name>
      <last_name>König</last_name>
    </author>
    <author>
      <first_name>Maximilian</first_name>
      <last_name>Bauder</last_name>
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    <author>
      <first_name>Franziska</first_name>
      <last_name>Petermeier</last_name>
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    <author>
      <first_name>Tibor</first_name>
      <last_name>Kubjatko</last_name>
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    <author>
      <first_name>Hans-Georg</first_name>
      <last_name>Schweiger</last_name>
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    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Accidents Analysis</value>
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    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>SAE Level 2 Systems</value>
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    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>VW Travel Assist</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Tesla Autopilot</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Performance test</value>
    </subject>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="institutes" number="19319">CARISSMA Institute of Electric, Connected and Secure Mobility (C-ECOS)</collection>
    <collection role="persons" number="26111">Schweiger, Hans-Georg</collection>
  </doc>
  <doc>
    <id>3151</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>7</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <articleNumber/>
    <type>conferenceobject</type>
    <publisherName>IEEE</publisherName>
    <publisherPlace>Piscataway</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Comparing Different Pedestrian Representations for Testing Automated&#13;
Driving Functions in Mixed Reality Environments</title>
    <parentTitle language="eng">Proceedings of the International Conference on Vehicle Electronics and Safety (ICVES 2022)</parentTitle>
    <identifier type="isbn">978-1-6654-7698-0</identifier>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.1109/ICVES56941.2022.9986669</enrichment>
    <enrichment key="THI_conferenceName">2022 IEEE International Conference on Vehicular Electronics and Safety (ICVES), Bogotá (Colombia), 14.-16.11.2022</enrichment>
    <enrichment key="THI_openaccess">nein</enrichment>
    <enrichment key="THI_review">peer-review</enrichment>
    <author>
      <first_name>Jakob</first_name>
      <last_name>Peintner</last_name>
    </author>
    <author>
      <first_name>Maikol</first_name>
      <last_name>Funk Drechsler</last_name>
    </author>
    <author>
      <first_name>Carina</first_name>
      <last_name>Manger</last_name>
    </author>
    <author>
      <first_name>Georg</first_name>
      <last_name>Seifert</last_name>
    </author>
    <author>
      <first_name>Fabio</first_name>
      <last_name>Reway</last_name>
    </author>
    <author>
      <first_name>Werner</first_name>
      <last_name>Huber</last_name>
    </author>
    <author>
      <first_name>Andreas</first_name>
      <last_name>Riener</last_name>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Target tracking</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Roads</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Mixed reality</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Virtual environments</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Motion capture</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Complexity theory</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Safety</value>
    </subject>
    <collection role="institutes" number="19309">Fakultät Informatik</collection>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="institutes" number="19317">CARISSMA Institute of Automated Driving  (C-IAD)</collection>
    <collection role="persons" number="26627">Riener, Andreas</collection>
    <collection role="persons" number="24800">Huber, Werner</collection>
    <collection role="institutes" number="19588">Human-Computer Interaction Group (HCIG)</collection>
  </doc>
  <doc>
    <id>3115</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>1489</pageFirst>
    <pageLast>1501</pageLast>
    <pageNumber/>
    <edition/>
    <issue>2</issue>
    <volume>30</volume>
    <articleNumber/>
    <type>article</type>
    <publisherName>IEEE</publisherName>
    <publisherPlace>Piscataway</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Temporal Coherence-Based Distributed Ray Tracing of Massive Scenes</title>
    <parentTitle language="eng">IEEE Transactions on Visualization and Computer Graphics</parentTitle>
    <identifier type="issn">1941-0506</identifier>
    <identifier type="issn">1077-2626</identifier>
    <enrichment key="THI_articleversion">published</enrichment>
    <enrichment key="THI_openaccess">nein</enrichment>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.1109/TVCG.2022.3219982</enrichment>
    <enrichment key="THI_review">peer-review</enrichment>
    <author>
      <first_name>Xiang</first_name>
      <last_name>Xu</last_name>
    </author>
    <author>
      <first_name>Lu</first_name>
      <last_name>Wang</last_name>
    </author>
    <author>
      <first_name>Arsène</first_name>
      <last_name>Pérard-Gayot</last_name>
    </author>
    <author>
      <first_name>Richard</first_name>
      <last_name>Membarth</last_name>
    </author>
    <author>
      <first_name>Cuiyu</first_name>
      <last_name>Li</last_name>
    </author>
    <author>
      <first_name>Chenglei</first_name>
      <last_name>Yang</last_name>
    </author>
    <author>
      <first_name>Philipp</first_name>
      <last_name>Slusallek</last_name>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Computer Graphics</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Ray Tracing</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Distributed Graphics</value>
    </subject>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="institutes" number="19379">AImotion Bavaria</collection>
    <collection role="persons" number="43674">Membarth, Richard</collection>
  </doc>
  <doc>
    <id>3111</id>
    <completedYear/>
    <publishedYear>2023</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>18</pageNumber>
    <edition/>
    <issue>3</issue>
    <volume>9</volume>
    <articleNumber>145</articleNumber>
    <type>article</type>
    <publisherName>MDPI</publisherName>
    <publisherPlace>Basel</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2023-02-22</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Experimental Investigation of State and Parameter Estimation within Reconfigurable Battery Systems</title>
    <abstract language="eng">The battery system is one of the most-important, but also -critical components in the electric power-train. The battery’s system states and parameters are commonly tracked by the battery monitoring system. However, in reality, the accuracy of the state and parameter estimation may suffer from insufficient excitation of the system. Since the current states and parameters serve as the basis for many battery management system functions, this might lead to incorrect operation and severe damage. Reconfigurable battery systems allow enhancing the system’s excitation by applying a switching operation. In this contribution, the state and parameter estimation of a reconfigurable battery module were simulated and tested experimentally. Thereby, a low-exciting and a high-exciting drive cycle were compared. Furthermore, the switching patterns were applied to enhance the excitation and, hence, improve the estimation of an extended Kalman filter. The cells were switched via a pulse-width modulation signal, and the influence of frequency and duty cycle variation on the estimation accuracy were investigated. Compared to the low-excitation input, a significant improvement in the estimation of up to 46% for the state of charge and 78% for the internal resistance were achieved. Hereby, low frequencies and duty cycles proved to be particularly advantageous. Switching, however, has only a limited influence on an already highly excited system and may lead to additional aging due to higher heat generation.</abstract>
    <parentTitle language="eng">Batteries</parentTitle>
    <identifier type="issn">2313-0105</identifier>
    <identifier type="urn">urn:nbn:de:bvb:573-31110</identifier>
    <enrichment key="THI_articleversion">published</enrichment>
    <enrichment key="THI_review">peer-review</enrichment>
    <enrichment key="THI_openaccess">ja</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.3390/batteries9030145</enrichment>
    <licence>Creative Commons BY 4.0</licence>
    <author>
      <first_name>Michael</first_name>
      <last_name>Theiler</last_name>
    </author>
    <author>
      <first_name>Dominik</first_name>
      <last_name>Schneider</last_name>
    </author>
    <author>
      <first_name>Christian</first_name>
      <last_name>Endisch</last_name>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>battery model</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Kalman filter</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>joint estimation</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>reconfigurable battery systems</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>state estimation</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>parameter estimation</value>
    </subject>
    <collection role="open_access" number="">open_access</collection>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="institutes" number="19320">Institut für Innovative Mobilität (IIMo)</collection>
    <collection role="persons" number="26571">Endisch, Christian</collection>
    <thesisPublisher>Technische Hochschule Ingolstadt</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-haw/files/3111/batteries-09-00145.pdf</file>
  </doc>
  <doc>
    <id>3110</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>4005</pageFirst>
    <pageLast>4010</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <articleNumber/>
    <type>conferenceobject</type>
    <publisherName>IEEE</publisherName>
    <publisherPlace>Piscataway</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Review of exteroceptive sensors for autonomous driving</title>
    <parentTitle language="eng">2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)</parentTitle>
    <identifier type="isbn">978-1-6654-6880-0</identifier>
    <enrichment key="THI_conferenceName">2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), Beijing and Macau (China) &amp; online, 18.09. - 12.10.2022</enrichment>
    <enrichment key="THI_openaccess">nein</enrichment>
    <enrichment key="THI_review">peer-review</enrichment>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.1109/ITSC55140.2022.9922379</enrichment>
    <author>
      <first_name>Mahdi</first_name>
      <last_name>Yahyaei</last_name>
    </author>
    <author>
      <first_name>Georg</first_name>
      <last_name>Seifert</last_name>
    </author>
    <author>
      <first_name>Thomas</first_name>
      <last_name>Hempen</last_name>
    </author>
    <author>
      <first_name>Werner</first_name>
      <last_name>Huber</last_name>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Image sensors</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Measurement</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Redundancy</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Sensor phenomena and characterization</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Sensor systems</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Robustness</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Software</value>
    </subject>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="institutes" number="19317">CARISSMA Institute of Automated Driving  (C-IAD)</collection>
    <collection role="persons" number="24800">Huber, Werner</collection>
  </doc>
  <doc>
    <id>3109</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>8</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <articleNumber/>
    <type>conferenceobject</type>
    <publisherName>IEEE</publisherName>
    <publisherPlace>Piscataway</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Simulation-based test methods with an automotive camera-in-the-loop for automated driving algorithms</title>
    <parentTitle language="eng">2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)</parentTitle>
    <identifier type="isbn">978-1-6654-7095-7</identifier>
    <enrichment key="THI_conferenceName">2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), Maldives (Maldives), 16.-18.11.2022</enrichment>
    <enrichment key="THI_review">peer-review</enrichment>
    <enrichment key="THI_openaccess">nein</enrichment>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.1109/ICECCME55909.2022.9988437</enrichment>
    <author>
      <first_name>Fabio</first_name>
      <last_name>Reway</last_name>
    </author>
    <author>
      <first_name>Maikol</first_name>
      <last_name>Funk Drechsler</last_name>
    </author>
    <author>
      <first_name>Ravikiran</first_name>
      <last_name>Murthy</last_name>
    </author>
    <author>
      <first_name>Yuri</first_name>
      <last_name>Poledna</last_name>
    </author>
    <author>
      <first_name>Werner</first_name>
      <last_name>Huber</last_name>
    </author>
    <author>
      <first_name>Christian</first_name>
      <last_name>Icking</last_name>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>sensor-in-the-loop</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>automate driving</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>testing</value>
    </subject>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="institutes" number="19317">CARISSMA Institute of Automated Driving  (C-IAD)</collection>
    <collection role="persons" number="24800">Huber, Werner</collection>
  </doc>
  <doc>
    <id>3104</id>
    <completedYear/>
    <publishedYear>2023</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>4236</pageFirst>
    <pageLast>4254</pageLast>
    <pageNumber/>
    <edition/>
    <issue>3</issue>
    <volume>9</volume>
    <articleNumber/>
    <type>article</type>
    <publisherName>IEEE</publisherName>
    <publisherPlace>Piscataway</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2023-02-17</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Performance of Recursive Least Squares Algorithm Configurations for Online Parameter Identification of Induction Machines in an Automotive Environment</title>
    <parentTitle language="eng">IEEE Transactions on Transportation Electrification</parentTitle>
    <identifier type="issn">2332-7782</identifier>
    <enrichment key="THI_articleversion">published</enrichment>
    <enrichment key="THI_review">peer-review</enrichment>
    <enrichment key="THI_openaccess">nein</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.1109/TTE.2023.3244619</enrichment>
    <author>
      <first_name>Martin</first_name>
      <last_name>Nachtsheim</last_name>
    </author>
    <author>
      <first_name>Johannes</first_name>
      <last_name>Ernst</last_name>
    </author>
    <author>
      <first_name>Christian</first_name>
      <last_name>Endisch</last_name>
    </author>
    <author>
      <first_name>Ralph</first_name>
      <last_name>Kennel</last_name>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>parameter estimation</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>induction machine</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>power system identification</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>road vehicle electric propulsion</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>fault diagnosis</value>
    </subject>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="institutes" number="19320">Institut für Innovative Mobilität (IIMo)</collection>
    <collection role="persons" number="26571">Endisch, Christian</collection>
  </doc>
  <doc>
    <id>3097</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>3502</pageFirst>
    <pageLast>3508</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <articleNumber/>
    <type>conferenceobject</type>
    <publisherName>IEEE</publisherName>
    <publisherPlace>Piscataway</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2023-02-16</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Federated Learning Framework Coping with Hierarchical Heterogeneity in Cooperative ITS</title>
    <parentTitle language="eng">2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)</parentTitle>
    <identifier type="isbn">978-1-6654-6880-0</identifier>
    <enrichment key="THI_review">peer-review</enrichment>
    <enrichment key="THI_openaccess">nein</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="BibtexRecord">https://doi.org/10.1109/ITSC55140.2022.9922064</enrichment>
    <enrichment key="THI_conferenceName">2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), Beijing and Macau (China) &amp; online, 18.09. - 12.10.2022</enrichment>
    <author>
      <first_name>Rui</first_name>
      <last_name>Song</last_name>
    </author>
    <author>
      <first_name>Liguo</first_name>
      <last_name>Zhou</last_name>
    </author>
    <author>
      <first_name>Venkatnarayanan</first_name>
      <last_name>Lakshminarasimhan</last_name>
    </author>
    <author>
      <first_name>Andreas</first_name>
      <last_name>Festag</last_name>
    </author>
    <author>
      <first_name>Alois</first_name>
      <last_name>Knoll</last_name>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Training</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Deep learning</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Data privacy</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Federated learning</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Roads</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Computational modeling</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Data models</value>
    </subject>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="institutes" number="19319">CARISSMA Institute of Electric, Connected and Secure Mobility (C-ECOS)</collection>
    <collection role="persons" number="25591">Festag, Andreas</collection>
    <collection role="institutes" number="19569">Fraunhofer-Anwendungszentrum "Vernetzte Mobilität und Infrastruktur"</collection>
  </doc>
  <doc>
    <id>3096</id>
    <completedYear/>
    <publishedYear>2023</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>7</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <articleNumber/>
    <type>conferenceobject</type>
    <publisherName>IEEE</publisherName>
    <publisherPlace>Piscataway</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2023-02-15</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Enhancing the Safety of Vulnerable Road Users: Messaging Protocols for V2X Communication</title>
    <parentTitle language="eng">2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall) Proceedings</parentTitle>
    <identifier type="isbn">978-1-6654-5468-1</identifier>
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    <enrichment key="THI_conferenceName">2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall), London (UK) &amp; Beijing (China), 26.-29.09.2022</enrichment>
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    <author>
      <first_name>Silas</first_name>
      <last_name>Lobo</last_name>
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    <author>
      <first_name>Andreas</first_name>
      <last_name>Festag</last_name>
    </author>
    <author>
      <first_name>Christian</first_name>
      <last_name>Facchi</last_name>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>road safety</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>vulnerable road users</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>V2X communication</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>messaging</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>collective perception</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>CPM</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>VAM</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>VRU</value>
    </subject>
    <collection role="institutes" number="19309">Fakultät Informatik</collection>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="persons" number="26695">Facchi, Christian</collection>
    <collection role="institutes" number="19319">CARISSMA Institute of Electric, Connected and Secure Mobility (C-ECOS)</collection>
    <collection role="persons" number="25591">Festag, Andreas</collection>
    <collection role="institutes" number="19568">Fakultät Nachhaltige Infrastruktur</collection>
  </doc>
  <doc>
    <id>3095</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>89</pageFirst>
    <pageLast>96</pageLast>
    <pageNumber/>
    <edition/>
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    <publisherName>SciTePress</publisherName>
    <publisherPlace>Setúbal</publisherPlace>
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    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2023-02-15</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Comparison of Two Different Radar Concepts for Pedestrian Protection on Bus Stops</title>
    <abstract language="eng">This paper presents the joint work from the “HORIS” project, with a focus on pedestrian detection at bus-stops by radar sensors mounted in the infrastructure to support future autonomous driving and protecting pedestrians in critical situations. Two sensor systems are investigated and evaluated. The first based on single radar sensor phase-sensitive raw data analysis and the second based on sensor data fusion of cluster data with two radar sensors using neural networks to predict the position of pedestrians.</abstract>
    <parentTitle language="eng">Proceedings of the 11th International Conference on Sensor Networks</parentTitle>
    <identifier type="issn">2184-4380</identifier>
    <identifier type="isbn">978-989-758-551-7</identifier>
    <identifier type="urn">urn:nbn:de:bvb:573-30953</identifier>
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    <enrichment key="THI_conferenceName">11th International Conference on Sensor Networks (SENSORNETS 2022), online, 07.-08.02.2022</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <licence>Creative Commons BY-NC-ND 4.0</licence>
    <author>
      <first_name>Egor</first_name>
      <last_name>Streck</last_name>
    </author>
    <editor>
      <first_name>Venkatesha</first_name>
      <last_name>Prasad</last_name>
    </editor>
    <author>
      <first_name>Reinhold</first_name>
      <last_name>Herschel</last_name>
    </author>
    <editor>
      <first_name>Dirk</first_name>
      <last_name>Pesch</last_name>
    </editor>
    <author>
      <first_name>Patrick</first_name>
      <last_name>Wallrath</last_name>
    </author>
    <editor>
      <first_name>Nirwan</first_name>
      <last_name>Ansari</last_name>
    </editor>
    <author>
      <first_name>M.</first_name>
      <last_name>Sunderam</last_name>
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    <editor>
      <first_name>César</first_name>
      <last_name>Benavente-Peces</last_name>
    </editor>
    <author>
      <first_name>Gordon</first_name>
      <last_name>Elger</last_name>
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    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Sensor Data Fusion</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Radar Sensor</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Multiple-Sensor Systems</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Machine Learning</value>
    </subject>
    <collection role="open_access" number="">open_access</collection>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="institutes" number="19320">Institut für Innovative Mobilität (IIMo)</collection>
    <collection role="persons" number="26589">Elger, Gordon</collection>
    <collection role="institutes" number="19569">Fraunhofer-Anwendungszentrum "Vernetzte Mobilität und Infrastruktur"</collection>
    <thesisPublisher>Technische Hochschule Ingolstadt</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-haw/files/3095/107771.pdf</file>
  </doc>
  <doc>
    <id>3094</id>
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    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
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    <issue/>
    <volume/>
    <articleNumber>107</articleNumber>
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    <publisherName>VDE Verlag</publisherName>
    <publisherPlace>Berlin</publisherPlace>
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    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2023-02-15</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">ZVS Class E2 Wireless Power Transfer System with Self-Resonant Transmission Coils for the Biomedical Application</title>
    <parentTitle language="eng">PCIM Europe 2022: International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management</parentTitle>
    <identifier type="isbn">978-3-8007-5822-7</identifier>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.30420/565822107</enrichment>
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    <enrichment key="THI_conferenceName">PCIM Europe 2022 - International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management, Nuremberg (Germany), 10.-12.05.2022</enrichment>
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    <author>
      <first_name>Hannes</first_name>
      <last_name>Schwan</last_name>
    </author>
    <editor>
      <last_name>Mesago Messe Frankfurt GmbH</last_name>
    </editor>
    <author>
      <first_name>Johannes</first_name>
      <last_name>Pforr</last_name>
    </author>
    <author>
      <first_name>Gordon</first_name>
      <last_name>Elger</last_name>
    </author>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="institutes" number="19320">Institut für Innovative Mobilität (IIMo)</collection>
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    <collection role="persons" number="27048">Pforr, Johannes</collection>
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  <doc>
    <id>3093</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>6</pageNumber>
    <edition/>
    <issue>138</issue>
    <volume>2022</volume>
    <articleNumber>114664</articleNumber>
    <type>article</type>
    <publisherName>Elsevier</publisherName>
    <publisherPlace>Amsterdam</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2023-02-15</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Investigation of stress relaxation in SAC305 with micro-Raman spectroscopy</title>
    <parentTitle language="eng">Microelectronics Reliability</parentTitle>
    <identifier type="issn">0026-2714</identifier>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.1016/j.microrel.2022.114664</enrichment>
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    <enrichment key="opus.source">publish</enrichment>
    <author>
      <first_name>E</first_name>
      <last_name>Liu</last_name>
    </author>
    <author>
      <first_name>Sri Krishna</first_name>
      <last_name>Bhogaraju</last_name>
    </author>
    <author>
      <first_name>Bernhard</first_name>
      <last_name>Wunderle</last_name>
    </author>
    <author>
      <first_name>Gordon</first_name>
      <last_name>Elger</last_name>
    </author>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="institutes" number="19320">Institut für Innovative Mobilität (IIMo)</collection>
    <collection role="persons" number="26589">Elger, Gordon</collection>
  </doc>
  <doc>
    <id>3092</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>360</pageFirst>
    <pageLast>367</pageLast>
    <pageNumber/>
    <edition/>
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    <type>conferenceobject</type>
    <publisherName>SciTePress</publisherName>
    <publisherPlace>Setúbal</publisherPlace>
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    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2023-02-15</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Concept of Smart Infrastructure for Connected Vehicle Assist and Traffic Flow Optimization</title>
    <abstract language="eng">The smart infrastructure units can play a vital role to develop smart cities of the future and in assisting automated vehicles on the road by providing extended perception and timely warnings to avoid accidents. This paper focuses on the development of such an infrastructure unit, that is specifically designed for a pedestrian crossing junction. It can control traffic lights at the junction by real-time environment perception through its sensors and can optimize the flow of vehicles and passing vulnerable road users (VRUs). Moreover, it can assist on-road vehicles by providing real-time information and critical warnings via a v2x module. This paper further describes different use-cases of the work, all major hardware components involved in the development of smart infrastructure unit, referred to as an edge, different sensor fusion approaches using the camera, radar, and lidar mounted on the edge for environment perception, various modes of communication including v2x, system design</abstract>
    <parentTitle language="eng">Proceedings of the 8th International Conference on Vehicle Technology and Intelligent Transport Systems</parentTitle>
    <identifier type="issn">2184-495X</identifier>
    <identifier type="isbn">978-989-758-573-9</identifier>
    <identifier type="urn">urn:nbn:de:bvb:573-30926</identifier>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.5220/0011068800003191</enrichment>
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    <enrichment key="THI_openaccess">ja</enrichment>
    <enrichment key="THI_conferenceName">8th International Conference on Vehicle Technology and Intelligent Transport Systems (VEHITS 2022), online, 27.-29.04.2022</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <licence>Creative Commons BY-NC-ND 4.0</licence>
    <author>
      <first_name>Shiva</first_name>
      <last_name>Agrawal</last_name>
    </author>
    <editor>
      <first_name>Jeroen</first_name>
      <last_name>Ploeg</last_name>
    </editor>
    <author>
      <first_name>Rui</first_name>
      <last_name>Song</last_name>
    </author>
    <editor>
      <first_name>Markus</first_name>
      <last_name>Helfert</last_name>
    </editor>
    <author>
      <first_name>Akhil</first_name>
      <last_name>Kohli</last_name>
    </author>
    <editor>
      <first_name>Karsten</first_name>
      <last_name>Berns</last_name>
    </editor>
    <author>
      <first_name>Andreas</first_name>
      <last_name>Korb</last_name>
    </author>
    <editor>
      <first_name>Oleg</first_name>
      <last_name>Gusikhin</last_name>
    </editor>
    <author>
      <first_name>Maximilian</first_name>
      <last_name>Andre</last_name>
    </author>
    <author>
      <first_name>Erik</first_name>
      <last_name>Holzinger</last_name>
    </author>
    <author>
      <first_name>Gordon</first_name>
      <last_name>Elger</last_name>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Road Side Unit (RSU)</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Smart Infrastructure</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Radar</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>LiDAR</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Camera</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Perception</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Sensor Data Fusion</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Vehicle-to-everything (V2X)</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Communication</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Simulation</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>ITS</value>
    </subject>
    <collection role="open_access" number="">open_access</collection>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="institutes" number="19320">Institut für Innovative Mobilität (IIMo)</collection>
    <collection role="persons" number="26589">Elger, Gordon</collection>
    <collection role="institutes" number="19569">Fraunhofer-Anwendungszentrum "Vernetzte Mobilität und Infrastruktur"</collection>
    <thesisPublisher>Technische Hochschule Ingolstadt</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-haw/files/3092/110688.pdf</file>
  </doc>
  <doc>
    <id>3089</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>35</pageFirst>
    <pageLast>46</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <articleNumber/>
    <type>conferenceobject</type>
    <publisherName>VDI-Verlag GmbH</publisherName>
    <publisherPlace>Düsseldorf</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2023-02-14</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Active control of airbag filling: sensor, valve, test bench, best-practice of industry-university-cooperation</title>
    <parentTitle language="eng">Fahrzeugsicherheit 2022: Auf dem Weg zur Fahrzeugsicherheit 2030</parentTitle>
    <identifier type="issn">0083-5560</identifier>
    <identifier type="isbn">978-3-18-092387-1</identifier>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.51202/9783181023877-35</enrichment>
    <enrichment key="THI_review">nein</enrichment>
    <enrichment key="THI_openaccess">nein</enrichment>
    <enrichment key="THI_conferenceName">13. VDI-Tagung Fahrzeugsicherheit, Berlin (Germany), 30.-31.05.2022</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">true</enrichment>
    <author>
      <first_name>Naveen</first_name>
      <last_name>Shirur</last_name>
    </author>
    <author>
      <first_name>Christian</first_name>
      <last_name>Birkner</last_name>
    </author>
    <author>
      <first_name>Andreas</first_name>
      <last_name>Foster</last_name>
    </author>
    <author>
      <first_name>Matthias</first_name>
      <last_name>Bleeck</last_name>
    </author>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Kraftfahrzeug</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Verkehrssicherheit</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Technische Sicherheit</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Passive Sicherheit</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Fahrerassistenzsystem</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Elektrofahrzeug</value>
    </subject>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="institutes" number="19318">CARISSMA Institute of Safety in Future Mobility (C-ISAFE)</collection>
    <collection role="persons" number="23939">Birkner, Christian</collection>
  </doc>
  <doc>
    <id>3085</id>
    <completedYear/>
    <publishedYear>2023</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>507</pageFirst>
    <pageLast>525</pageLast>
    <pageNumber/>
    <edition/>
    <issue>78</issue>
    <volume>2023</volume>
    <articleNumber/>
    <type>article</type>
    <publisherName>Elsevier</publisherName>
    <publisherPlace>Amsterdam</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2023-02-08</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Towards a business model for second-life batteries – barriers, opportunities, uncertainties, and technologies</title>
    <parentTitle language="eng">Journal of Energy Chemistry</parentTitle>
    <identifier type="issn">2096-885X</identifier>
    <identifier type="issn">2095-4956</identifier>
    <note>Corrigendum verfügbar unter https://doi.org/10.1016/j.jechem.2023.11.010</note>
    <enrichment key="THI_articleversion">published</enrichment>
    <enrichment key="THI_review">peer-review</enrichment>
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    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.1016/j.jechem.2022.12.019</enrichment>
    <author>
      <first_name>Carlos Antônio</first_name>
      <last_name>Rufino Júnior</last_name>
    </author>
    <author>
      <first_name>Eleonora</first_name>
      <last_name>Riva Sanseverino</last_name>
    </author>
    <author>
      <first_name>Pierluigi</first_name>
      <last_name>Gallo</last_name>
    </author>
    <author>
      <first_name>Daniel</first_name>
      <last_name>Koch</last_name>
    </author>
    <author>
      <first_name>Yash</first_name>
      <last_name>Kotak</last_name>
    </author>
    <author>
      <first_name>Hans-Georg</first_name>
      <last_name>Schweiger</last_name>
    </author>
    <author>
      <first_name>Hudson</first_name>
      <last_name>Zanin</last_name>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Business models</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Batteries</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Sustainability</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Electric vehicles</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Challenges</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Opportunities</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Lithium-ion batteries</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Reuse</value>
    </subject>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="institutes" number="19319">CARISSMA Institute of Electric, Connected and Secure Mobility (C-ECOS)</collection>
    <collection role="persons" number="26111">Schweiger, Hans-Georg</collection>
  </doc>
  <doc>
    <id>3071</id>
    <completedYear/>
    <publishedYear>2021</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>1711</pageFirst>
    <pageLast>1718</pageLast>
    <pageNumber/>
    <edition/>
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    <publisherName>IEEE</publisherName>
    <publisherPlace>Piscataway (NJ)</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2023-01-12</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Online Detection of Soft Internal Short Circuits in Lithium-Ion Battery Packs by Data-Driven Cell Voltage Monitoring</title>
    <parentTitle language="eng">Proceedings of the Energy Conversion Congress &amp; Exposition - Asia, 2021 (ECCE-Asia 2021)</parentTitle>
    <identifier type="isbn">978-1-7281-6344-4</identifier>
    <identifier type="issn">2150-6086</identifier>
    <enrichment key="THI_review">peer-review</enrichment>
    <enrichment key="THI_openaccess">nein</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="THI_conferenceName">2021 IEEE 12th Energy Conversion Congress &amp; Exposition - Asia (ECCE-Asia), Singapore, 24.-27.05.2021</enrichment>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.1109/ECCE-Asia49820.2021.9479175</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">true</enrichment>
    <author>
      <first_name>Michael</first_name>
      <last_name>Schmid</last_name>
    </author>
    <author>
      <first_name>Bernhard</first_name>
      <last_name>Liebhart</last_name>
    </author>
    <author>
      <first_name>Jan</first_name>
      <last_name>Kleiner</last_name>
    </author>
    <author>
      <first_name>Christian</first_name>
      <last_name>Endisch</last_name>
    </author>
    <author>
      <first_name>Ralph</first_name>
      <last_name>Kennel</last_name>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Internal Short Circuit</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Fault Diagnosis</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Lithium-Ion Battery</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Battery Safety</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Electric Vehicle</value>
    </subject>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="institutes" number="19320">Institut für Innovative Mobilität (IIMo)</collection>
    <collection role="persons" number="26571">Endisch, Christian</collection>
  </doc>
  <doc>
    <id>3068</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue>56, Part A</issue>
    <volume>2022</volume>
    <articleNumber>105808</articleNumber>
    <type>article</type>
    <publisherName>Elsevier</publisherName>
    <publisherPlace>Amsterdam</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2023-01-11</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Experimental study of cell integrated heat pipe cooling with a lithium-ion cell emulator</title>
    <parentTitle language="eng">Journal of Energy Storage</parentTitle>
    <identifier type="issn">2352-1538</identifier>
    <identifier type="issn">2352-152X</identifier>
    <enrichment key="THI_articleversion">published</enrichment>
    <enrichment key="THI_review">peer-review</enrichment>
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    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.1016/j.est.2022.105808</enrichment>
    <author>
      <first_name>Jan</first_name>
      <last_name>Kleiner</last_name>
    </author>
    <author>
      <first_name>Florian</first_name>
      <last_name>Lambauer</last_name>
    </author>
    <author>
      <first_name>Randeep</first_name>
      <last_name>Singh</last_name>
    </author>
    <author>
      <first_name>Lidiya</first_name>
      <last_name>Komsiyska</last_name>
    </author>
    <author>
      <first_name>Michael</first_name>
      <last_name>Hinterberger</last_name>
    </author>
    <author>
      <first_name>Christian</first_name>
      <last_name>Endisch</last_name>
    </author>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="institutes" number="19320">Institut für Innovative Mobilität (IIMo)</collection>
    <collection role="persons" number="26571">Endisch, Christian</collection>
  </doc>
  <doc>
    <id>3067</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>10</pageNumber>
    <edition/>
    <issue>205</issue>
    <volume>2022</volume>
    <articleNumber>112163</articleNumber>
    <type>article</type>
    <publisherName>Elsevier</publisherName>
    <publisherPlace>Amsterdam</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2023-01-11</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Pareto optimization of wavelet filter design for partial discharge detection in electrical machines</title>
    <abstract language="eng">A reliable detection of partial discharges (PDs) in the insulation system of electrical machines is essential to prevent premature breakdowns. Wavelet filters (WFs) are often recommended for denoising this PD measurement data. However, filtering performance strongly depends on numerous settings, which impedes an optimum filter choice. We propose an approach to systematically select the best filter for denoising PD signals. First, representative PD pulses are determined from measurement data by an averaging and a singular value decomposition method. Next, realistic benchmark signals are generated for filter assessment. Further, all possible WF combinations from a set of different mother wavelet selection methods, decomposition trees, and thresholding approaches are evaluated. On the basis of two contradicting objectives, namely mean square error of noise intervals and pulse amplitude distortion, Pareto optimization is applied to choose optimal WF settings. The corresponding filters dominate several common WF proposals from previous literature.</abstract>
    <parentTitle language="eng">Measurement</parentTitle>
    <identifier type="issn">1873-412X</identifier>
    <identifier type="issn">0263-2241</identifier>
    <identifier type="urn">urn:nbn:de:bvb:573-30673</identifier>
    <enrichment key="THI_articleversion">published</enrichment>
    <enrichment key="THI_review">peer-review</enrichment>
    <enrichment key="THI_openaccess">ja</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.1016/j.measurement.2022.112163</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">true</enrichment>
    <licence>Creative Commons BY 4.0</licence>
    <author>
      <first_name>Andreas</first_name>
      <last_name>Rauscher</last_name>
    </author>
    <author>
      <first_name>Manuel</first_name>
      <last_name>Hufnagel</last_name>
    </author>
    <author>
      <first_name>Christian</first_name>
      <last_name>Endisch</last_name>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Pareto optimization</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Wavelet filter</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Denoising</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Ultra high frequency</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Partial discharge</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Electrical machine</value>
    </subject>
    <collection role="open_access" number="">open_access</collection>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="institutes" number="19320">Institut für Innovative Mobilität (IIMo)</collection>
    <collection role="persons" number="26571">Endisch, Christian</collection>
    <thesisPublisher>Technische Hochschule Ingolstadt</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-haw/files/3067/1-s2.0-S0263224122013598-main.pdf</file>
  </doc>
  <doc>
    <id>3046</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>28</pageNumber>
    <edition/>
    <issue>1</issue>
    <volume>23</volume>
    <articleNumber>159</articleNumber>
    <type>article</type>
    <publisherName>MDPI</publisherName>
    <publisherPlace>Basel</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2023-01-02</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Generation of Correction Data for Autonomous Driving by Means of Machine Learning and On-Board Diagnostics</title>
    <abstract language="eng">A highly accurate reference vehicle state is a requisite for the evaluation and validation of Autonomous Driving (AD) and Advanced Driver Assistance Systems (ADASs). This highly accurate vehicle state is usually obtained by means of Inertial Navigation Systems (INSs) that obtain position, velocity, and Course Over Ground (COG) correction data from Satellite Navigation (SatNav). However, SatNav is not always available, as is the case of roofed places, such as parking structures, tunnels, or urban canyons. This leads to a degradation over time of the estimated vehicle state. In the present paper, a methodology is proposed that consists on the use of a Machine Learning (ML)-method (Transformer Neural Network—TNN) with the objective of generating highly accurate velocity correction data from On-Board Diagnostics (OBD) data. The TNN obtains OBD data as input and measurements from state-of-the-art reference sensors as a learning target. The results show that the TNN is able to infer the velocity over ground with a Mean Absolute Error (MAE) of 0.167 kmh (0.046 ms) when a database of 3,428,099 OBD measurements is considered. The accuracy decreases to 0.863 kmh (0.24 ms) when only 5000 OBD measurements are used. Given that the obtained accuracy closely resembles that of state-of-the-art reference sensors, it allows INSs to be provided with accurate velocity correction data. An inference time of less than 40 ms for the generation of new correction data is achieved, which suggests the possibility of online implementation. This supports a highly accurate estimation of the vehicle state for the evaluation and validation of AD and ADAS, even in SatNav-deprived environments.</abstract>
    <parentTitle language="eng">Sensors</parentTitle>
    <identifier type="issn">1424-8220</identifier>
    <identifier type="urn">urn:nbn:de:bvb:573-30464</identifier>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.3390/s23010159</enrichment>
    <enrichment key="THI_articleversion">published</enrichment>
    <enrichment key="THI_review">peer-review</enrichment>
    <enrichment key="THI_openaccess">ja</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <licence>Creative Commons BY 4.0</licence>
    <author>
      <first_name>Alberto</first_name>
      <last_name>Flores Fernández</last_name>
    </author>
    <author>
      <first_name>Eduardo</first_name>
      <last_name>Sánchez Morales</last_name>
    </author>
    <author>
      <first_name>Michael</first_name>
      <last_name>Botsch</last_name>
    </author>
    <author>
      <first_name>Christian</first_name>
      <last_name>Facchi</last_name>
    </author>
    <author>
      <first_name>Andrés</first_name>
      <last_name>García Higuera</last_name>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>On-Board Diagnostics</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Machine Learning</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Transformer Neural Network</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Autonomous Driving</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>ADAS</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Inertial Navigation Systems</value>
    </subject>
    <collection role="open_access" number="">open_access</collection>
    <collection role="institutes" number="19309">Fakultät Informatik</collection>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="persons" number="26695">Facchi, Christian</collection>
    <collection role="institutes" number="19317">CARISSMA Institute of Automated Driving  (C-IAD)</collection>
    <collection role="institutes" number="19319">CARISSMA Institute of Electric, Connected and Secure Mobility (C-ECOS)</collection>
    <collection role="persons" number="26835">Botsch, Michael</collection>
    <thesisPublisher>Technische Hochschule Ingolstadt</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-haw/files/3046/sensors-23-00159.pdf</file>
  </doc>
  <doc>
    <id>3039</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>113</pageFirst>
    <pageLast>118</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <articleNumber/>
    <type>conferenceobject</type>
    <publisherName>IEEE</publisherName>
    <publisherPlace>Los Alamitos</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2022-12-23</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">On Learning Stable Cooperation in the Iterated Prisoner's Dilemma with Paid Incentives</title>
    <parentTitle language="eng">Proceedings: 2022 IEEE 42nd International Conference on Distributed Computing Systems Workshops: ICDCSW 2022</parentTitle>
    <identifier type="issn">2332-5666</identifier>
    <identifier type="isbn">978-1-6654-8879-2</identifier>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.1109/ICDCSW56584.2022.00031</enrichment>
    <enrichment key="THI_review">peer-review</enrichment>
    <enrichment key="THI_openaccess">nein</enrichment>
    <enrichment key="THI_conferenceName">2022 IEEE 42nd International Conference on Distributed Computing Systems Workshops (ICDCSW), Bologna (Italy), 10.-13.07.2022</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">true</enrichment>
    <author>
      <first_name>Xiyue</first_name>
      <last_name>Sun</last_name>
    </author>
    <author>
      <first_name>Fabian Raoul</first_name>
      <last_name>Pieroth</last_name>
    </author>
    <author>
      <first_name>Kyrill</first_name>
      <last_name>Schmid</last_name>
    </author>
    <author>
      <first_name>Martin</first_name>
      <last_name>Wirsing</last_name>
    </author>
    <author>
      <first_name>Lenz</first_name>
      <last_name>Belzner</last_name>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Prisoner’s Dilemma</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Cooperation</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Incentivizing</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Reinforcement Learning</value>
    </subject>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="institutes" number="19379">AImotion Bavaria</collection>
    <collection role="persons" number="43324">Belzner, Lenz</collection>
  </doc>
  <doc>
    <id>3038</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>6</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <articleNumber/>
    <type>conferenceobject</type>
    <publisherName>IEEE</publisherName>
    <publisherPlace>Piscataway</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2022-12-23</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Crack Growth Prediction in High-Power LEDs from TTA, SAM and Simulated Data</title>
    <parentTitle language="eng">THERMINIC 2022: Proceedings 2022</parentTitle>
    <identifier type="isbn">978-1-6654-9229-4</identifier>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.1109/THERMINIC57263.2022.9950673</enrichment>
    <enrichment key="THI_review">peer-review</enrichment>
    <enrichment key="THI_openaccess">nein</enrichment>
    <enrichment key="THI_conferenceName">2022 28th International Workshop on Thermal Investigations of ICs and Systems (THERMINIC), Dublin (Ireland), 28.-30.09.2022</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <author>
      <first_name>Joseph</first_name>
      <last_name>Hermann</last_name>
    </author>
    <author>
      <first_name>Maximilian</first_name>
      <last_name>Schmid</last_name>
    </author>
    <author>
      <first_name>Gordon</first_name>
      <last_name>Elger</last_name>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>reliability</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>transient thermal analysis (TTA)</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>scanning acoustic microscopy (SAM)</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>finite element simulation</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>LED</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>solder</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>crack</value>
    </subject>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="institutes" number="19320">Institut für Innovative Mobilität (IIMo)</collection>
    <collection role="persons" number="26589">Elger, Gordon</collection>
    <collection role="institutes" number="19569">Fraunhofer-Anwendungszentrum "Vernetzte Mobilität und Infrastruktur"</collection>
    <collection role="persons" number="26880">Schmid, Maximilian</collection>
  </doc>
  <doc>
    <id>3037</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>6</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <articleNumber/>
    <type>conferenceobject</type>
    <publisherName>IEEE</publisherName>
    <publisherPlace>Piscataway</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2022-12-23</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Laser Stimulated Transient Thermal Analysis of Semiconductors</title>
    <parentTitle language="eng">THERMINIC 2022: Proceedings 2022</parentTitle>
    <identifier type="isbn">978-1-6654-9229-4</identifier>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.1109/THERMINIC57263.2022.9950672</enrichment>
    <enrichment key="THI_review">peer-review</enrichment>
    <enrichment key="THI_openaccess">nein</enrichment>
    <enrichment key="THI_conferenceName">2022 28th International Workshop on Thermal Investigations of ICs and Systems (THERMINIC), Dublin (Ireland), 28.-30.09.2022</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <author>
      <first_name>Hannes</first_name>
      <last_name>Schwan</last_name>
    </author>
    <author>
      <first_name>Maximilian</first_name>
      <last_name>Schmid</last_name>
    </author>
    <author>
      <first_name>Gordon</first_name>
      <last_name>Elger</last_name>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>transient thermal analysis</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>laser</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>thermal resistance</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>reliability</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>LED</value>
    </subject>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="institutes" number="19320">Institut für Innovative Mobilität (IIMo)</collection>
    <collection role="persons" number="26589">Elger, Gordon</collection>
    <collection role="institutes" number="19569">Fraunhofer-Anwendungszentrum "Vernetzte Mobilität und Infrastruktur"</collection>
    <collection role="persons" number="26880">Schmid, Maximilian</collection>
  </doc>
  <doc>
    <id>3035</id>
    <completedYear/>
    <publishedYear>2021</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>409</pageFirst>
    <pageLast>412</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <articleNumber/>
    <type>conferenceobject</type>
    <publisherName>IEEE</publisherName>
    <publisherPlace>Piscataway</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2022-12-22</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Towards Safe Autonomous Driving</title>
    <parentTitle language="eng">Proceedings of the 17th European Radar Conference</parentTitle>
    <subTitle language="eng">Challenges of Pedestrian Detection in Rain with Automotive Radar</subTitle>
    <identifier type="isbn">978-2-87487-061-3</identifier>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.1109/EuRAD48048.2021.00110</enrichment>
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    <enrichment key="THI_conferenceName">2020 17th European Radar Conference (EuRAD), Utrecht (Netherlands), 10.-15.01.2021</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <author>
      <first_name>Dagmar</first_name>
      <last_name>Steinhauser</last_name>
    </author>
    <author>
      <first_name>Patrick</first_name>
      <last_name>Held</last_name>
    </author>
    <author>
      <first_name>Bernhard</first_name>
      <last_name>Thöresz</last_name>
    </author>
    <author>
      <first_name>Thomas</first_name>
      <last_name>Brandmeier</last_name>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>high-resolution radar</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>rain</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>pedestrian detection</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>micro-Doppler signature</value>
    </subject>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="institutes" number="19318">CARISSMA Institute of Safety in Future Mobility (C-ISAFE)</collection>
    <collection role="persons" number="26848">Brandmeier, Thomas</collection>
    <collection role="persons" number="27056">Steinhauser, Dagmar</collection>
  </doc>
  <doc>
    <id>3034</id>
    <completedYear/>
    <publishedYear>2021</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>204</pageFirst>
    <pageLast>210</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <articleNumber/>
    <type>conferenceobject</type>
    <publisherName>IEEE</publisherName>
    <publisherPlace>Piscataway</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2022-12-22</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Investigation of Different Classification Algorithms for Predicting Occupant Injury Criterion to Decide the Required Restraint Strategy</title>
    <parentTitle language="eng">2021 IEEE International Intelligent Transportation Systems Conference (ITSC)</parentTitle>
    <identifier type="isbn">978-1-7281-9142-3</identifier>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.1109/ITSC48978.2021.9564868</enrichment>
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    <enrichment key="THI_openaccess">nein</enrichment>
    <enrichment key="THI_conferenceName">2021 IEEE International Intelligent Transportation Systems Conference (ITSC), Indianapolis (USA), 19.-22.09.2021</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <author>
      <first_name>Gerald Joy</first_name>
      <last_name>Sequeira</last_name>
    </author>
    <author>
      <first_name>Elnagdy</first_name>
      <last_name>Elnagdy</last_name>
    </author>
    <author>
      <first_name>Gokulesh</first_name>
      <last_name>Danapal</last_name>
    </author>
    <author>
      <first_name>Robert</first_name>
      <last_name>Lugner</last_name>
    </author>
    <author>
      <first_name>Ulrich</first_name>
      <last_name>Jumar</last_name>
    </author>
    <author>
      <first_name>Thomas</first_name>
      <last_name>Brandmeier</last_name>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>pre-crash injury prediction</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Advanced Vehicle Safety</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>machine learning</value>
    </subject>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="institutes" number="19318">CARISSMA Institute of Safety in Future Mobility (C-ISAFE)</collection>
    <collection role="persons" number="26848">Brandmeier, Thomas</collection>
    <collection role="persons" number="27080">Lugner, Robert</collection>
  </doc>
  <doc>
    <id>3033</id>
    <completedYear/>
    <publishedYear>2020</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>440</pageFirst>
    <pageLast>449</pageLast>
    <pageNumber/>
    <edition/>
    <issue>3</issue>
    <volume>6</volume>
    <articleNumber/>
    <type>article</type>
    <publisherName>IEEE</publisherName>
    <publisherPlace>Piscataway</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2022-12-22</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Extended Object Tracking Using Spatially Resolved Micro-Doppler Signatures</title>
    <parentTitle language="eng">IEEE Transactions on Intelligent Vehicles</parentTitle>
    <identifier type="issn">2379-8904</identifier>
    <identifier type="issn">2379-8858</identifier>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.1109/TIV.2020.3035433</enrichment>
    <enrichment key="THI_articleversion">published</enrichment>
    <enrichment key="THI_review">peer-review</enrichment>
    <enrichment key="THI_openaccess">nein</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <author>
      <first_name>Alexander</first_name>
      <last_name>Kamann</last_name>
    </author>
    <author>
      <first_name>Dagmar</first_name>
      <last_name>Steinhauser</last_name>
    </author>
    <author>
      <first_name>Frank</first_name>
      <last_name>Gruson</last_name>
    </author>
    <author>
      <first_name>Thomas</first_name>
      <last_name>Brandmeier</last_name>
    </author>
    <author>
      <first_name>Ulrich</first_name>
      <last_name>Schwarz</last_name>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>extended object tracking</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>micro-Doppler signatures</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>radar</value>
    </subject>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="institutes" number="19318">CARISSMA Institute of Safety in Future Mobility (C-ISAFE)</collection>
    <collection role="persons" number="26848">Brandmeier, Thomas</collection>
    <collection role="persons" number="27056">Steinhauser, Dagmar</collection>
  </doc>
  <doc>
    <id>3028</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>205</pageFirst>
    <pageLast>223</pageLast>
    <pageNumber/>
    <edition/>
    <issue>2</issue>
    <volume>28</volume>
    <articleNumber/>
    <type>article</type>
    <publisherName>MIT Press</publisherName>
    <publisherPlace>Cambridge</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2022-12-19</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Self-Replication in Neural Networks</title>
    <parentTitle language="eng">Artificial Life</parentTitle>
    <identifier type="issn">1530-9185</identifier>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.1162/artl_a_00359</enrichment>
    <enrichment key="THI_articleversion">published</enrichment>
    <enrichment key="THI_review">peer-review</enrichment>
    <enrichment key="THI_openaccess">nein</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">false</enrichment>
    <author>
      <first_name>Thomas</first_name>
      <last_name>Gabor</last_name>
    </author>
    <author>
      <first_name>Steffen</first_name>
      <last_name>Illium</last_name>
    </author>
    <author>
      <first_name>Maximilian</first_name>
      <last_name>Zorn</last_name>
    </author>
    <author>
      <first_name>Cristian</first_name>
      <last_name>Lenta</last_name>
    </author>
    <author>
      <first_name>Andy</first_name>
      <last_name>Mattausch</last_name>
    </author>
    <author>
      <first_name>Lenz</first_name>
      <last_name>Belzner</last_name>
    </author>
    <author>
      <first_name>Claudia</first_name>
      <last_name>Linnhoff-Popien</last_name>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>neural network</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>self-replication</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>artificial chemistry system</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>soup</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>weight space</value>
    </subject>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="institutes" number="19379">AImotion Bavaria</collection>
    <collection role="persons" number="43324">Belzner, Lenz</collection>
  </doc>
  <doc>
    <id>3001</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>118</pageFirst>
    <pageLast>123</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <articleNumber/>
    <type>conferenceobject</type>
    <publisherName>IEEE</publisherName>
    <publisherPlace>Piscataway</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2022-12-19</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Cellular-V2X for Vulnerable Road User Protection in Cooperative ITS</title>
    <parentTitle language="eng">2022 18th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)</parentTitle>
    <identifier type="isbn">978-1-6654-6975-3</identifier>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.1109/WiMob55322.2022.9941707</enrichment>
    <enrichment key="THI_review">peer-review</enrichment>
    <enrichment key="THI_openaccess">nein</enrichment>
    <enrichment key="THI_conferenceName">2022 18th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), Thessaloniki (Greece),  10.-12.10.2022</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <author>
      <first_name>Anupama</first_name>
      <last_name>Hegde</last_name>
    </author>
    <author>
      <first_name>Silas</first_name>
      <last_name>Lobo</last_name>
    </author>
    <author>
      <first_name>Andreas</first_name>
      <last_name>Festag</last_name>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Radio resource allocation in Cellular-V2X</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>VRU safety and protection</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>messaging services</value>
    </subject>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="institutes" number="19319">CARISSMA Institute of Electric, Connected and Secure Mobility (C-ECOS)</collection>
    <collection role="persons" number="25591">Festag, Andreas</collection>
    <collection role="institutes" number="19569">Fraunhofer-Anwendungszentrum "Vernetzte Mobilität und Infrastruktur"</collection>
  </doc>
  <doc>
    <id>2998</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>25</pageNumber>
    <edition/>
    <issue>1</issue>
    <volume>20</volume>
    <articleNumber>17</articleNumber>
    <type>article</type>
    <publisherName>ACM</publisherName>
    <publisherPlace>New York</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2022-12-19</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">XEngine: Optimal Tensor Rematerialization for Neural Networks in Heterogeneous Environments</title>
    <abstract language="eng">Memory efficiency is crucial in training deep learning networks on resource-restricted devices. During backpropagation, forward tensors are used to calculate gradients. Despite the option of keeping those dependencies in memory until they are reused in backpropagation, some forward tensors can be discarded and recomputed later from saved tensors, so-called checkpoints. This allows, in particular, for resource-constrained heterogeneous environments to make use of all available compute devices. Unfortunately, the definition of these checkpoints is a non-trivial problem and poses a challenge to the programmer—improper or excessive recomputations negate the benefit of checkpointing.&#13;
&#13;
In this article, we present XEngine, an approach that schedules network operators to heterogeneous devices in low memory environments by determining checkpoints and recomputations of tensors. Our approach selects suitable resources per timestep and operator and optimizes the end-to-end time for neural networks taking the memory limitation of each device into account. For this, we formulate a mixed-integer quadratic program (MIQP) to schedule operators of deep learning networks on heterogeneous systems. We compare our MIQP solver XEngine against Checkmate [12], a mixed-integer linear programming (MILP) approach that solves recomputation on a single device. Our solver finds solutions that are up to 22.5% faster than the fastest Checkmate schedule in which the network is computed exclusively on a single device. We also find valid schedules for networks making use of both central processing units and graphics processing units if memory limitations do not allow scheduling exclusively to the graphics processing unit.</abstract>
    <parentTitle language="eng">ACM Transactions on Architecture and Code Optimization</parentTitle>
    <identifier type="issn">1544-3973</identifier>
    <identifier type="urn">urn:nbn:de:bvb:573-29989</identifier>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.1145/3568956</enrichment>
    <enrichment key="THI_articleversion">published</enrichment>
    <enrichment key="THI_review">peer-review</enrichment>
    <enrichment key="THI_openaccess">ja</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <licence>Creative Commons BY-NC-SA 4.0</licence>
    <author>
      <first_name>Manuela</first_name>
      <last_name>Schuler</last_name>
    </author>
    <author>
      <first_name>Richard</first_name>
      <last_name>Membarth</last_name>
    </author>
    <author>
      <first_name>Philipp</first_name>
      <last_name>Slusallek</last_name>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>rematerialization</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>integer linear programming</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>neural networks</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>memory management</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>heterogeneous computing</value>
    </subject>
    <collection role="open_access" number="">open_access</collection>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="institutes" number="19379">AImotion Bavaria</collection>
    <collection role="persons" number="43674">Membarth, Richard</collection>
    <thesisPublisher>Technische Hochschule Ingolstadt</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-haw/files/2998/3568956.pdf</file>
  </doc>
  <doc>
    <id>2995</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>12</pageNumber>
    <edition/>
    <issue>24</issue>
    <volume>22</volume>
    <articleNumber>9832</articleNumber>
    <type>article</type>
    <publisherName>MDPI</publisherName>
    <publisherPlace>Basel</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2022-12-15</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Does Vehicle-2-X Radio Transmission Technology Need to Be Considered within Accident Analysis in the Future?</title>
    <abstract language="eng">In this analysis, Cooperative Intelligent Transportation System relevant scenarios are created to investigate the need to differentiate Vehicle-to-X transmission technologies on behalf of accident analysis. For each scenario, the distances between the vehicles are calculated 5 s before the crash. Studies on the difference between Dedicated Short-Range Communication (IEEE 802.11p) and Cellular Vehicle-to-X communication (LTE-V2C PC5 Mode 4) are then used to assess whether both technologies have a reliable connection over the relevant distance. If this is the case, the transmission technology is of secondary importance for future investigations on Vehicle-to-X communication in combination with accident analysis. The results show that studies on freeways and rural roads can be carried out independently of the transmission technology and other boundary conditions (speed, traffic density, non-line of sight/line of sight). The situation is different for studies in urban areas, where both technologies may not have a sufficiently reliable connection range depending on the traffic density.</abstract>
    <parentTitle language="eng">Sensors</parentTitle>
    <identifier type="issn">1424-8220</identifier>
    <identifier type="urn">urn:nbn:de:bvb:573-29954</identifier>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.3390/s22249832</enrichment>
    <enrichment key="THI_articleversion">published</enrichment>
    <enrichment key="THI_review">peer-review</enrichment>
    <enrichment key="THI_openaccess">ja</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <licence>Creative Commons BY 4.0</licence>
    <author>
      <first_name>Maximilian</first_name>
      <last_name>Bauder</last_name>
    </author>
    <author>
      <first_name>Tibor</first_name>
      <last_name>Kubjatko</last_name>
    </author>
    <author>
      <first_name>Thomas</first_name>
      <last_name>Helmer</last_name>
    </author>
    <author>
      <first_name>Hans-Georg</first_name>
      <last_name>Schweiger</last_name>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>cooperative intelligent transportation systems</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>C-ITS</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>C-V2X</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>LTE-V2X</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>DSRC</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>IEEE 802.11p</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>accident scenarios</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>accident analysis</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>accident reconstruction</value>
    </subject>
    <collection role="open_access" number="">open_access</collection>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="institutes" number="19319">CARISSMA Institute of Electric, Connected and Secure Mobility (C-ECOS)</collection>
    <collection role="persons" number="26111">Schweiger, Hans-Georg</collection>
    <collection role="persons" number="47563">Helmer, Thomas</collection>
    <thesisPublisher>Technische Hochschule Ingolstadt</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-haw/files/2995/sensors-22-09832.pdf</file>
  </doc>
  <doc>
    <id>2981</id>
    <completedYear/>
    <publishedYear>2021</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>8</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <articleNumber/>
    <type>conferenceobject</type>
    <publisherName>FISITA</publisherName>
    <publisherPlace>Bishops Stortford</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2022-12-06</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Collision Prediction for Irreversible Pre-Crash Safety Measures</title>
    <parentTitle language="eng">FISITA Web Congress 2020</parentTitle>
    <identifier type="url">https://www.fisita.com/library/f2020-pif-033</identifier>
    <note>Paper + Video</note>
    <enrichment key="THI_review">peer-review</enrichment>
    <enrichment key="THI_openaccess">nein</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="THI_conferenceName">FISITA Web Congress 2020, online, 24.11.2020</enrichment>
    <author>
      <first_name>Robert</first_name>
      <last_name>Lugner</last_name>
    </author>
    <author>
      <first_name>Maximilian</first_name>
      <last_name>Inderst</last_name>
    </author>
    <author>
      <first_name>Gerald Joy</first_name>
      <last_name>Sequeira</last_name>
    </author>
    <author>
      <first_name>Kilian</first_name>
      <last_name>Schneider</last_name>
    </author>
    <author>
      <first_name>Thomas</first_name>
      <last_name>Brandmeier</last_name>
    </author>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="institutes" number="19318">CARISSMA Institute of Safety in Future Mobility (C-ISAFE)</collection>
    <collection role="persons" number="26848">Brandmeier, Thomas</collection>
    <collection role="persons" number="27080">Lugner, Robert</collection>
  </doc>
  <doc>
    <id>2970</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>02:1</pageFirst>
    <pageLast>02:27</pageLast>
    <pageNumber/>
    <edition/>
    <issue>1</issue>
    <volume>8</volume>
    <articleNumber/>
    <type>article</type>
    <publisherName>Schloss Dagstuhl</publisherName>
    <publisherPlace>Wadern</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2022-11-20</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Micro- and Macroscopic Road Traffic Analysis using Drone Image Data</title>
    <abstract language="eng">The current development in the drone technology, alongside with machine learning based image processing, open new possibilities for various applications. Thus, the market volume is expected to grow rapidly over the next years. The goal of this paper is to demonstrate the capabilities and limitations of drone based image data processing for the purpose of road traffic analysis.&#13;
In the first part a method for generating microscopic traffic data is proposed. More precisely, the state of vehicles and the resulting trajectories are estimated. The method is validated by conducting experiments with reference sensors and proofs to achieve precise vehicle state estimation results. It is also shown, how the computational effort can be reduced by incorporating the tracking information into a neural network. A discussion on current limitations supplements the findings. By collecting a large number of vehicle trajectories, macroscopic statistics, such as traffic flow and density can be obtained from the data. In the second part, a publicly available drone based data set is analyzed to evaluate the suitability for macroscopic traffic modeling. The results show that the method is well suited for gaining detailed information about macroscopic statistics, such as traffic flow dependent time headway or lane change occurrences. In conclusion, this paper presents methods to exploit the remarkable opportunities of drone based image processing for joint macro- and microscopic traffic analysis.</abstract>
    <parentTitle language="eng">Leibniz Transactions on Embedded Systems</parentTitle>
    <identifier type="issn">2199-2002</identifier>
    <identifier type="urn">urn:nbn:de:bvb:573-29704</identifier>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.4230/LITES.8.1.2</enrichment>
    <enrichment key="THI_articleversion">published</enrichment>
    <enrichment key="THI_review">peer-review</enrichment>
    <enrichment key="THI_openaccess">ja</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <licence>Creative Commons BY 4.0</licence>
    <author>
      <first_name>Friedrich</first_name>
      <last_name>Kruber</last_name>
    </author>
    <author>
      <first_name>Eduardo</first_name>
      <last_name>Sánchez Morales</last_name>
    </author>
    <author>
      <first_name>Robin</first_name>
      <last_name>Egolf</last_name>
    </author>
    <author>
      <first_name>Jonas</first_name>
      <last_name>Wurst</last_name>
    </author>
    <author>
      <first_name>Samarjit</first_name>
      <last_name>Chakraborty</last_name>
    </author>
    <author>
      <first_name>Michael</first_name>
      <last_name>Botsch</last_name>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>traffic data analysis</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>trajectory data</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>drone image data</value>
    </subject>
    <collection role="open_access" number="">open_access</collection>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="institutes" number="19317">CARISSMA Institute of Automated Driving  (C-IAD)</collection>
    <collection role="persons" number="26835">Botsch, Michael</collection>
    <thesisPublisher>Technische Hochschule Ingolstadt</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-haw/files/2970/lites-v008-i001-a002-kruber.pdf</file>
  </doc>
  <doc>
    <id>2952</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>16</pageNumber>
    <edition/>
    <issue>9</issue>
    <volume>8</volume>
    <articleNumber>104</articleNumber>
    <type>article</type>
    <publisherName>MDPI</publisherName>
    <publisherPlace>Basel</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Kalman Filter Tuning Using Multi-Objective Genetic Algorithm for State and Parameter Estimation of Lithium-Ion Cells</title>
    <abstract language="eng">To ensure a reliable and safe operation of battery systems in various applications, the system’s internal states must be observed with high accuracy. Hereby, the Kalman filter is a frequently used and well-known tool to estimate the states and model parameters of a lithium-ion cell. A strong requirement is the selection of a suitable model and a reasonable initialization, otherwise the algorithm’s estimation might be insufficient. Especially the process noise parametrization poses a difficult task, since it is an abstract parameter and often optimized by an arbitrary trial-and-error principle. In this work, a traceable procedure based on the genetic algorithm is introduced to determine the process noise offline considering the estimation error and filter consistency. Hereby, the parameters found are independent of the researcher’s experience. Results are validated with a simulative and experimental study, using an NCA/graphite lithium-ion cell. After the transient phase, the estimation error of the state-of-charge is lower than 0.6% and for internal resistance smaller than 4mΩ while the corresponding estimated covariances fit the error well.</abstract>
    <parentTitle language="eng">Batteries</parentTitle>
    <identifier type="issn">2313-0105</identifier>
    <identifier type="urn">urn:nbn:de:bvb:573-29528</identifier>
    <enrichment key="opus.import.date">2022-11-11T13:18:46+00:00</enrichment>
    <enrichment key="opus.source">sword</enrichment>
    <enrichment key="opus.import.user">deepgreen</enrichment>
    <enrichment key="opus.import.file">attachment; filename=deposit.zip</enrichment>
    <enrichment key="opus.import.checksum">e5262af36a5c0e5860893806e4aa19e0</enrichment>
    <enrichment key="THI_articleversion">published</enrichment>
    <enrichment key="THI_openaccess">ja</enrichment>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.3390/batteries8090104</enrichment>
    <enrichment key="THI_review">peer-review</enrichment>
    <licence>Creative Commons BY 4.0</licence>
    <author>
      <first_name>Michael</first_name>
      <last_name>Theiler</last_name>
    </author>
    <author>
      <first_name>Dominik</first_name>
      <last_name>Schneider</last_name>
    </author>
    <author>
      <first_name>Christian</first_name>
      <last_name>Endisch</last_name>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>battery model</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Kalman filter</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>joint estimation</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Kalman filter tuning</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>genetic algorithm</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>multi-objective optimization</value>
    </subject>
    <collection role="open_access" number="">open_access</collection>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="institutes" number="19320">Institut für Innovative Mobilität (IIMo)</collection>
    <collection role="persons" number="26571">Endisch, Christian</collection>
    <collection role="Import" number="deepgreen">DeepGreen</collection>
    <thesisPublisher>Technische Hochschule Ingolstadt</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-haw/files/2952/batteries-08-00104-v2.pdf</file>
  </doc>
  <doc>
    <id>2966</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>553</pageFirst>
    <pageLast>559</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <articleNumber/>
    <type>conferenceobject</type>
    <publisherName>IEEE</publisherName>
    <publisherPlace>Piscataway</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2022-11-15</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Reliability of SAC Solders under Low and High Stress Conditions</title>
    <parentTitle language="eng">2022 IEEE 9th Electronics System-Integration Technology Conference (ESTC)</parentTitle>
    <identifier type="isbn">978-1-6654-8947-8</identifier>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.1109/ESTC55720.2022.9939394</enrichment>
    <enrichment key="THI_review">peer-review</enrichment>
    <enrichment key="THI_openaccess">nein</enrichment>
    <enrichment key="THI_conferenceName">2022 IEEE 9th Electronics System-Integration Technology Conference (ESTC), Sibiu (Romania), 13.-16.09.2022</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <author>
      <first_name>Maximilian</first_name>
      <last_name>Schmid</last_name>
    </author>
    <author>
      <first_name>Joseph</first_name>
      <last_name>Hermann</last_name>
    </author>
    <author>
      <first_name>Sri Krishna</first_name>
      <last_name>Bhogaraju</last_name>
    </author>
    <author>
      <first_name>Gordon</first_name>
      <last_name>Elger</last_name>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>reliability</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>solder joint cracking</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>SAC solder</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>transient thermal analysis</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>SAM</value>
    </subject>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="institutes" number="19320">Institut für Innovative Mobilität (IIMo)</collection>
    <collection role="persons" number="26589">Elger, Gordon</collection>
    <collection role="institutes" number="19569">Fraunhofer-Anwendungszentrum "Vernetzte Mobilität und Infrastruktur"</collection>
    <collection role="persons" number="26880">Schmid, Maximilian</collection>
  </doc>
  <doc>
    <id>2965</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>566</pageFirst>
    <pageLast>575</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <articleNumber/>
    <type>conferenceobject</type>
    <publisherName>IEEE</publisherName>
    <publisherPlace>Piscataway</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2022-11-15</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Predicting thermal resistance of solder joints based on Scanning Acoustic Microscopy using Artificial Neural Networks</title>
    <parentTitle language="eng">2022 IEEE 9th Electronics System-Integration Technology Conference (ESTC)</parentTitle>
    <identifier type="isbn">978-1-6654-8947-8</identifier>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.1109/ESTC55720.2022.9939465</enrichment>
    <enrichment key="THI_review">peer-review</enrichment>
    <enrichment key="THI_openaccess">nein</enrichment>
    <enrichment key="THI_conferenceName">2022 IEEE 9th Electronics System-Integration Technology Conference (ESTC), Sibiu (Romania), 13.-16.09.2022</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <author>
      <first_name>Andreas</first_name>
      <last_name>Zippelius</last_name>
    </author>
    <author>
      <first_name>Tobias</first_name>
      <last_name>Strobl</last_name>
    </author>
    <author>
      <first_name>Maximilian</first_name>
      <last_name>Schmid</last_name>
    </author>
    <author>
      <first_name>Joseph</first_name>
      <last_name>Hermann</last_name>
    </author>
    <author>
      <first_name>Alwin</first_name>
      <last_name>Hoffmann</last_name>
    </author>
    <author>
      <first_name>Gordon</first_name>
      <last_name>Elger</last_name>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Solder Joints</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>LED</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>non-destructive testing</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Machine Learning</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Scanning Acoustic Microscopy (SAM)</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Transient Thermal Analysis (TTA), Convolutional Neural Network (CNN)</value>
    </subject>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="institutes" number="19320">Institut für Innovative Mobilität (IIMo)</collection>
    <collection role="persons" number="26589">Elger, Gordon</collection>
    <collection role="institutes" number="19569">Fraunhofer-Anwendungszentrum "Vernetzte Mobilität und Infrastruktur"</collection>
    <collection role="persons" number="26880">Schmid, Maximilian</collection>
  </doc>
  <doc>
    <id>2964</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>163</pageFirst>
    <pageLast>168</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <articleNumber/>
    <type>conferenceobject</type>
    <publisherName>IEEE</publisherName>
    <publisherPlace>Piscataway</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2022-11-15</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Fluxfree solder paste and process for standard SMD components</title>
    <parentTitle language="eng">2022 IEEE 9th Electronics System-Integration Technology Conference (ESTC)</parentTitle>
    <identifier type="isbn">978-1-6654-8947-8</identifier>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.1109/ESTC55720.2022.9939528</enrichment>
    <enrichment key="THI_review">peer-review</enrichment>
    <enrichment key="THI_openaccess">nein</enrichment>
    <enrichment key="THI_conferenceName">2022 IEEE 9th Electronics System-Integration Technology Conference (ESTC), Sibiu (Romania), 13.-16.09.2022</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <author>
      <first_name>Nihesh</first_name>
      <last_name>Mohan</last_name>
    </author>
    <author>
      <first_name>Stefan</first_name>
      <last_name>Langer</last_name>
    </author>
    <author>
      <first_name>Gordon</first_name>
      <last_name>Elger</last_name>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Fluxfree</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Solder process</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Surface mount devices</value>
    </subject>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="institutes" number="19320">Institut für Innovative Mobilität (IIMo)</collection>
    <collection role="persons" number="26589">Elger, Gordon</collection>
  </doc>
  <doc>
    <id>2949</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>6</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <articleNumber/>
    <type>conferenceobject</type>
    <publisherName>IEEE</publisherName>
    <publisherPlace>Piscataway</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2022-11-10</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Correlation of Scanning Acoustic Microscopy and Transient Thermal Analysis to Identify Crack Growth in Solder Joints</title>
    <parentTitle language="eng">Proceedings of the Twenty First InterSociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems: ITherm 2022</parentTitle>
    <identifier type="isbn">978-1-6654-8503-6</identifier>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.1109/iTherm54085.2022.9899664</enrichment>
    <enrichment key="THI_review">peer-review</enrichment>
    <enrichment key="THI_openaccess">nein</enrichment>
    <enrichment key="THI_conferenceName">2022 21st IEEE Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems (iTherm), San Diego (USA), 31.05. - 03.06.2022</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <author>
      <first_name>Maximilian</first_name>
      <last_name>Schmid</last_name>
    </author>
    <author>
      <first_name>Joseph</first_name>
      <last_name>Hermann</last_name>
    </author>
    <author>
      <first_name>E</first_name>
      <last_name>Liu</last_name>
    </author>
    <author>
      <first_name>Gordon</first_name>
      <last_name>Elger</last_name>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>reliability</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>transient thermal analysis (TTA)</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>scanning acoustic microscopy (SAM)</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>finite element simulation</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>finite element optimization</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>LED</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>solder</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>crack</value>
    </subject>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="institutes" number="19320">Institut für Innovative Mobilität (IIMo)</collection>
    <collection role="persons" number="26589">Elger, Gordon</collection>
    <collection role="persons" number="26880">Schmid, Maximilian</collection>
  </doc>
  <doc>
    <id>2947</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>23</pageNumber>
    <edition/>
    <issue>21</issue>
    <volume>15</volume>
    <articleNumber>7902</articleNumber>
    <type>article</type>
    <publisherName>MDPI</publisherName>
    <publisherPlace>Basel</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2022-11-10</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Calculating Available Charge and Energy of Lithium-Ion Cells Based on OCV and Internal Resistance</title>
    <abstract language="eng">The design and operation of performant and safe electric vehicles depend on precise knowledge of the behavior of their electrochemical energy storage systems. The performance of the battery management systems often relies on the discrete-time battery models, which can correctly emulate the battery characteristics. Among the available methods, electric circuit-based equations have shown to be especially useful in describing the electrical characteristics of batteries. To overcome the existing drawbacks, such as discrete-time simulations for parameter estimation and the usage of look-up tables, a set of equations has been developed in this study that solely relies on the open-circuit voltage and the internal resistance of a battery. The parameters can be obtained from typical cell datasheets or can be easily extracted via standard measurements. The proposed equations allow for the direct analytical determination of available discharge capacity and the available energy content depending on the discharge current, as well as the Peukert exponent. The fidelity of the proposed system was validated experimentally using 18650 NMC and LFP lithium-ion cells, and the results are in close agreement with the datasheet.</abstract>
    <parentTitle language="eng">Energies</parentTitle>
    <identifier type="issn">1996-1073</identifier>
    <identifier type="urn">urn:nbn:de:bvb:573-29479</identifier>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.3390/en15217902</enrichment>
    <enrichment key="THI_articleversion">published</enrichment>
    <enrichment key="THI_review">peer-review</enrichment>
    <enrichment key="THI_openaccess">ja</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <licence>Creative Commons BY 4.0</licence>
    <author>
      <first_name>Fabian</first_name>
      <last_name>Steger</last_name>
    </author>
    <author>
      <first_name>Jonathan</first_name>
      <last_name>Krogh</last_name>
    </author>
    <author>
      <first_name>Lasantha</first_name>
      <last_name>Meegahapola</last_name>
    </author>
    <author>
      <first_name>Hans-Georg</first_name>
      <last_name>Schweiger</last_name>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>battery management system</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>electric vehicles</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>state-of-charge</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>energy content</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>mathematical model</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Peukert exponent</value>
    </subject>
    <collection role="open_access" number="">open_access</collection>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="institutes" number="19319">CARISSMA Institute of Electric, Connected and Secure Mobility (C-ECOS)</collection>
    <collection role="persons" number="26111">Schweiger, Hans-Georg</collection>
    <thesisPublisher>Technische Hochschule Ingolstadt</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-haw/files/2947/energies-15-07902.pdf</file>
  </doc>
  <doc>
    <id>2946</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>687</pageFirst>
    <pageLast>694</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <articleNumber/>
    <type>conferenceobject</type>
    <publisherName>IEEE</publisherName>
    <publisherPlace>Piscataway</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2022-11-06</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">A Multidimensional Graph Fourier Transformation Neural Network for Vehicle Trajectory Prediction</title>
    <parentTitle language="eng">2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)</parentTitle>
    <identifier type="isbn">978-1-6654-6880-0</identifier>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.1109/ITSC55140.2022.9922419</enrichment>
    <enrichment key="THI_review">peer-review</enrichment>
    <enrichment key="THI_openaccess">nein</enrichment>
    <enrichment key="THI_conferenceName">2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), Beijing and Macau (China) &amp; online, 18.09. - 12.10.2022</enrichment>
    <enrichment key="THI_openaccess">nein</enrichment>
    <author>
      <first_name>Marion</first_name>
      <last_name>Neumeier</last_name>
    </author>
    <author>
      <first_name>Andreas</first_name>
      <last_name>Tollkühn</last_name>
    </author>
    <author>
      <first_name>Michael</first_name>
      <last_name>Botsch</last_name>
    </author>
    <author>
      <first_name>Wolfgang</first_name>
      <last_name>Utschick</last_name>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Road transportation</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Computational modeling</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Computer architecture</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Predictive models</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Network architecture</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Trajectory</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Decoding</value>
    </subject>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="institutes" number="19317">CARISSMA Institute of Automated Driving  (C-IAD)</collection>
    <collection role="persons" number="26835">Botsch, Michael</collection>
  </doc>
  <doc>
    <id>2945</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>980</pageFirst>
    <pageLast>987</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <articleNumber/>
    <type>conferenceobject</type>
    <publisherName>IEEE</publisherName>
    <publisherPlace>Piscataway</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2022-11-06</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Interaction-aware Prediction of Occupancy Regions based on a POMDP Framework</title>
    <parentTitle language="eng">2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)</parentTitle>
    <identifier type="isbn">978-1-6654-6880-0</identifier>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.1109/ITSC55140.2022.9922127</enrichment>
    <enrichment key="THI_review">peer-review</enrichment>
    <enrichment key="THI_openaccess">nein</enrichment>
    <enrichment key="THI_conferenceName">2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), Beijing and Macau (China) &amp; online, 18.09. - 12.10.2022</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <author>
      <first_name>Tim</first_name>
      <last_name>Elter</last_name>
    </author>
    <author>
      <first_name>Tobias</first_name>
      <last_name>Dirndorfer</last_name>
    </author>
    <author>
      <first_name>Michael</first_name>
      <last_name>Botsch</last_name>
    </author>
    <author>
      <first_name>Wolfgang</first_name>
      <last_name>Utschick</last_name>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Trajectory planning</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Estimation</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Collaboration</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Markov process</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Complexity theory</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Reliability</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Junctions</value>
    </subject>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="institutes" number="19317">CARISSMA Institute of Automated Driving  (C-IAD)</collection>
    <collection role="persons" number="26835">Botsch, Michael</collection>
  </doc>
  <doc>
    <id>2944</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>1471</pageFirst>
    <pageLast>1478</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <articleNumber/>
    <type>conferenceobject</type>
    <publisherName>IEEE</publisherName>
    <publisherPlace>Piscataway</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2022-11-06</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">ExAgt: Expert-guided Augmentation for Representation Learning of Traffic Scenarios</title>
    <parentTitle language="eng">2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)</parentTitle>
    <identifier type="isbn">978-1-6654-6880-0</identifier>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.1109/ITSC55140.2022.9922453</enrichment>
    <enrichment key="THI_review">peer-review</enrichment>
    <enrichment key="THI_openaccess">nein</enrichment>
    <enrichment key="THI_conferenceName">2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), Beijing and Macau (China) &amp; online, 18.09. - 12.10.2022</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <author>
      <first_name>Lakshman</first_name>
      <last_name>Balasubramanian</last_name>
    </author>
    <author>
      <first_name>Jonas</first_name>
      <last_name>Wurst</last_name>
    </author>
    <author>
      <first_name>Robin</first_name>
      <last_name>Egolf</last_name>
    </author>
    <author>
      <first_name>Michael</first_name>
      <last_name>Botsch</last_name>
    </author>
    <author>
      <first_name>Wolfgang</first_name>
      <last_name>Utschick</last_name>
    </author>
    <author>
      <first_name>Ke</first_name>
      <last_name>Deng</last_name>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Representation learning</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Visualization</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Codes</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Self-supervised learning</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Prediction methods</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Distortion</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Stability analysis</value>
    </subject>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="institutes" number="19317">CARISSMA Institute of Automated Driving  (C-IAD)</collection>
    <collection role="persons" number="26835">Botsch, Michael</collection>
  </doc>
  <doc>
    <id>2943</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>24</pageNumber>
    <edition/>
    <issue>11</issue>
    <volume>8</volume>
    <articleNumber>213</articleNumber>
    <type>article</type>
    <publisherName>MDPI</publisherName>
    <publisherPlace>Basel</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2022-11-03</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Possibilities for a Quick Onsite Safety-State Assessment of Stand-Alone Lithium-Ion Batteries</title>
    <abstract language="eng">Electric vehicles’ high-voltage lithium-ion batteries are complex systems and can be sources of several hazards for interacting people. Sophisticated battery management systems (BMS) therefore constantly monitor their characteristics and varying states, to keep the battery within desired operational conditions and to mitigate safety risks as well as excessive degradation. However, there can be several situations where the battery is not in normal operation (e.g., a stand-alone battery) and a fully functional BMS monitoring function is not available. When necessary to interact with the system, its safety state must be deduced to ensure the safety of interactors. This can be a challenging task depending on a situation’s characteristics (time pressure, technical knowledge of involved people). Thus, this article discusses how the safety state of electric vehicle batteries can be evaluated quickly even by untrained people. To develop a solution, different scenarios, which require a battery’s state assessment, and the options for collecting relevant information are motivated and discussed, respectively. Finally, a mobile interface that can evaluate and display the safety state by using BMS-internal data is described and demonstrated.</abstract>
    <parentTitle language="eng">Batteries</parentTitle>
    <identifier type="issn">2313-0105</identifier>
    <identifier type="urn">urn:nbn:de:bvb:573-29439</identifier>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.3390/batteries8110213</enrichment>
    <enrichment key="THI_articleversion">published</enrichment>
    <enrichment key="THI_review">peer-review</enrichment>
    <enrichment key="THI_openaccess">ja</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <licence>Creative Commons BY 4.0</licence>
    <author>
      <first_name>Daniel</first_name>
      <last_name>Koch</last_name>
    </author>
    <author>
      <first_name>Hans-Georg</first_name>
      <last_name>Schweiger</last_name>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>safety-state assessment</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>stand-alone battery</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>quick state assessment</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>battery transport</value>
    </subject>
    <collection role="open_access" number="">open_access</collection>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="institutes" number="19319">CARISSMA Institute of Electric, Connected and Secure Mobility (C-ECOS)</collection>
    <collection role="persons" number="26111">Schweiger, Hans-Georg</collection>
    <thesisPublisher>Technische Hochschule Ingolstadt</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-haw/files/2943/batteries-08-00213.pdf</file>
  </doc>
  <doc>
    <id>2929</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>49</pageFirst>
    <pageLast>54</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <articleNumber/>
    <type>conferenceobject</type>
    <publisherName>figshare</publisherName>
    <publisherPlace>[s. l.]</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2022-10-25</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Real World Traffic Optimization by Reinforcement Learning: A Concept</title>
    <parentTitle language="eng">International Workshop on Agent-Based Modelling of Urban Systems (ABMUS) Proceedings: 2022</parentTitle>
    <identifier type="urn">urn:nbn:de:bvb:573-29290</identifier>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.6084/m9.figshare.19733800.v1</enrichment>
    <enrichment key="THI_review">peer-review</enrichment>
    <enrichment key="THI_openaccess">ja</enrichment>
    <enrichment key="THI_conferenceName">2022 Agent-Based Modelling of Urban Systems (ABMUS) workshop, part of the AAMAS conference, online, 10.05.2022</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <licence>Creative Commons BY 4.0</licence>
    <author>
      <first_name>Henri</first_name>
      <last_name>Meess</last_name>
    </author>
    <editor>
      <first_name>Minh Le</first_name>
      <last_name>Kieu</last_name>
    </editor>
    <author>
      <first_name>Jeremias</first_name>
      <last_name>Gerner</last_name>
    </author>
    <editor>
      <first_name>Koen H. van</first_name>
      <last_name>Dam</last_name>
    </editor>
    <author>
      <first_name>Daniel</first_name>
      <last_name>Hein</last_name>
    </author>
    <editor>
      <first_name>Jason</first_name>
      <last_name>Thompson</last_name>
    </editor>
    <author>
      <first_name>Stefanie</first_name>
      <last_name>Schmidtner</last_name>
    </author>
    <editor>
      <first_name>Nick</first_name>
      <last_name>Malleson</last_name>
    </editor>
    <author>
      <first_name>Gordon</first_name>
      <last_name>Elger</last_name>
    </author>
    <editor>
      <first_name>Alison</first_name>
      <last_name>Heppenstall</last_name>
    </editor>
    <editor>
      <first_name>Jiaqi</first_name>
      <last_name>Ge</last_name>
    </editor>
    <collection role="open_access" number="">open_access</collection>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="persons" number="26589">Elger, Gordon</collection>
    <collection role="persons" number="43141">Schmidtner, Stefanie</collection>
    <collection role="institutes" number="19569">Fraunhofer-Anwendungszentrum "Vernetzte Mobilität und Infrastruktur"</collection>
    <thesisPublisher>Technische Hochschule Ingolstadt</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-haw/files/2929/Proceedings_2022_ABMUS_workshop.pdf</file>
  </doc>
  <doc>
    <id>2517</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>348</pageFirst>
    <pageLast>370</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <articleNumber/>
    <type>conferenceobject</type>
    <publisherName>Springer</publisherName>
    <publisherPlace>Cham</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2022-07-14</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Cooperative Driving: Research on Generic Decentralized Maneuver Coordination for Connected and Automated Vehicles</title>
    <parentTitle language="eng">Smart Cities, Green Technologies, and Intelligent Transport Systems: 10th International Conference, SMARTGREENS 2021, and 7th International Conference, VEHITS 2021, Virtual Event, April 28-30, 2021, Revised Selected Papers</parentTitle>
    <identifier type="isbn">978-3-031-17097-3</identifier>
    <identifier type="isbn">978-3-031-17098-0</identifier>
    <enrichment key="THI_review">peer-review</enrichment>
    <enrichment key="THI_openaccess">nein</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="THI_conferenceName">7th International Conference on Vehicle Technology and Intelligent Transport Systems (VEHITS 2021), online, 28.-30.04.2021</enrichment>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.1007/978-3-031-17098-0_18</enrichment>
    <author>
      <first_name>Daniel</first_name>
      <last_name>Maksimovski</last_name>
    </author>
    <editor>
      <first_name>Cornel</first_name>
      <last_name>Klein</last_name>
    </editor>
    <author>
      <first_name>Christian</first_name>
      <last_name>Facchi</last_name>
    </author>
    <editor>
      <first_name>Matthias</first_name>
      <last_name>Jarke</last_name>
    </editor>
    <author>
      <first_name>Andreas</first_name>
      <last_name>Festag</last_name>
    </author>
    <editor>
      <first_name>Markus</first_name>
      <last_name>Helfert</last_name>
    </editor>
    <editor>
      <first_name>Karsten</first_name>
      <last_name>Berns</last_name>
    </editor>
    <editor>
      <first_name>Oleg</first_name>
      <last_name>Gusikhin</last_name>
    </editor>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>V2X communication</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>cooperative maneuver coordination</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>connected vehicles</value>
    </subject>
    <collection role="institutes" number="19309">Fakultät Informatik</collection>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="persons" number="26695">Facchi, Christian</collection>
    <collection role="institutes" number="19319">CARISSMA Institute of Electric, Connected and Secure Mobility (C-ECOS)</collection>
    <collection role="persons" number="25591">Festag, Andreas</collection>
    <collection role="institutes" number="19569">Fraunhofer-Anwendungszentrum "Vernetzte Mobilität und Infrastruktur"</collection>
  </doc>
  <doc>
    <id>2879</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>175</pageFirst>
    <pageLast>186</pageLast>
    <pageNumber/>
    <edition/>
    <issue>2</issue>
    <volume>22</volume>
    <articleNumber/>
    <type>article</type>
    <publisherName>IEEE</publisherName>
    <publisherPlace>New York</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2022-10-14</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Investigations on High-Power LEDs and Solder Interconnects in Automotive Application: Part I - Initial Characterization</title>
    <abstract language="eng">Thermo-mechanical reliability is one major issue in solid-state lighting. Mismatches in the coefficients of thermal expansion (CTE) between high-power LED packages and substrates paired with temperature changes induce mechanical stress. This leads to a thermal degradation of LED modules by crack formation in the solder interconnect and/or delamination in the substrate, which in turn increases junction temperature and thus decreases light output and reduces lifetime. To investigate degradation and understand influence of LED package design and solder material, a reliability study with a total of 1800 samples − segmented in nine LED types and five solder pastes − is performed. First of all, in this paper a state-of-the-art review of high-power LED packages is performed by analyzing and categorizing the packaging technologies. Second, the quality inspection after assembly is realized by transient thermal analysis (TTA), scanning acoustic microscopy (SAM) and X-ray. For TTA, a new method is introduced to separate the thermal resistance of the LED package from solder interconnect and substrate by applying the transient dual interface method (TDI) on samples with different solder interconnect void ratios. Further measurement effort is not required. The datasheet values for thermal resistance are verified and the different LED package types are benchmarked. The void ratio of the solder interconnects is determined by X-ray inspection combined with an algorithm to suppress disruptive internal LED package structures. TTA and TDI revealed that initial thermal performance is independent of solder paste type and that voiding is more critical to smaller LED packages. In addition, lower silver proportion in the paste is found to increase voiding. SAM is less sensitive for initial void detection than X-ray, but it’s applied to monitor crack propagation while aging in combination with TTA. The results of the reliability study, i.e., the crack growth under temperature shock test for the different SAC solders, will be presented in a second independent paper.</abstract>
    <parentTitle language="eng">IEEE Transactions on Device and Materials Reliability</parentTitle>
    <identifier type="issn">1530-4388</identifier>
    <identifier type="issn">1558-2574</identifier>
    <identifier type="urn">urn:nbn:de:bvb:573-28799</identifier>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.1109/TDMR.2022.3152590</enrichment>
    <enrichment key="THI_articleversion">published</enrichment>
    <enrichment key="THI_review">peer-review</enrichment>
    <enrichment key="THI_openaccess">ja</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <licence>Creative Commons BY 4.0</licence>
    <author>
      <first_name>Maximilian</first_name>
      <last_name>Schmid</last_name>
    </author>
    <author>
      <first_name>Andreas</first_name>
      <last_name>Zippelius</last_name>
    </author>
    <author>
      <first_name>Alexander</first_name>
      <last_name>Hanss</last_name>
    </author>
    <author>
      <first_name>Stephan</first_name>
      <last_name>Böckhorst</last_name>
    </author>
    <author>
      <first_name>Gordon</first_name>
      <last_name>Elger</last_name>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>LED</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>non-destructive testing</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>reliability</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>solder</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>scanning acoustic microscopy (SAM)</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>thermal impedance (Zth)</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>thermal resistant (Rth)</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>transient thermal analysis (TTA)</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>X-ray</value>
    </subject>
    <collection role="open_access" number="">open_access</collection>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="institutes" number="19320">Institut für Innovative Mobilität (IIMo)</collection>
    <collection role="persons" number="26589">Elger, Gordon</collection>
    <collection role="persons" number="26880">Schmid, Maximilian</collection>
    <thesisPublisher>Technische Hochschule Ingolstadt</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-haw/files/2879/Investigations_on_High-Power_LEDs.pdf</file>
  </doc>
  <doc>
    <id>2877</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>11</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <articleNumber>20</articleNumber>
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    <publisherName>ACM</publisherName>
    <publisherPlace>New York</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2022-10-13</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">AnySeq/GPU: A Novel Approach for Faster Sequence Alignment on GPUs</title>
    <parentTitle language="eng">Proceedings of the 36th ACM International Conference on Supercomputing (ICS-2022)</parentTitle>
    <identifier type="isbn">978-1-4503-9281-5</identifier>
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    <enrichment key="THI_conferenceName">ICS '22: 2022 International Conference on Supercomputing, online, 28.-30.06.2022</enrichment>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.1145/3524059.3532376</enrichment>
    <author>
      <first_name>André</first_name>
      <last_name>Müller</last_name>
    </author>
    <author>
      <first_name>Bertil</first_name>
      <last_name>Schmidt</last_name>
    </author>
    <author>
      <first_name>Richard</first_name>
      <last_name>Membarth</last_name>
    </author>
    <author>
      <first_name>Roland</first_name>
      <last_name>Leißa</last_name>
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    <author>
      <first_name>Sebastian</first_name>
      <last_name>Hack</last_name>
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    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="institutes" number="19379">AImotion Bavaria</collection>
    <collection role="persons" number="43674">Membarth, Richard</collection>
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    <id>2870</id>
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    <publishedYear>2022</publishedYear>
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    <language>deu</language>
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    <publisherName>VDI Verlag</publisherName>
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    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2022-10-06</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">Schnelle Abschätzung des Crashverhaltens von Insassen unter Berücksichtigung der Vielfalt des Menschen</title>
    <parentTitle language="deu">Fahrzeugsicherheit 2022: Auf dem Weg zur Fahrzeugsicherheit 2030</parentTitle>
    <subTitle language="deu">Robustheit, Datenintensität und Vorhersagekraft von Metamodellen</subTitle>
    <identifier type="isbn">978-3-18-092387-1</identifier>
    <identifier type="isbn">978-3-18-102387-7</identifier>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.51202/9783181023877-313</enrichment>
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    <enrichment key="THI_openaccess">nein</enrichment>
    <enrichment key="THI_conferenceName">13. VDI Tagung Fahrzeugsicherheit, Berlin, 30.-31.05.2022</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <author>
      <first_name>Franz</first_name>
      <last_name>Plaschkies</last_name>
    </author>
    <author>
      <first_name>Ondrej</first_name>
      <last_name>Vaculin</last_name>
    </author>
    <author>
      <first_name>Angelo A.</first_name>
      <last_name>Pelisson</last_name>
    </author>
    <author>
      <first_name>Axel</first_name>
      <last_name>Schumacher</last_name>
    </author>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="institutes" number="19318">CARISSMA Institute of Safety in Future Mobility (C-ISAFE)</collection>
    <collection role="persons" number="26510">Vaculin, Ondrej</collection>
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  <doc>
    <id>2868</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>ces</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>389</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <articleNumber/>
    <type>book</type>
    <publisherName>Academia</publisherName>
    <publisherPlace>Prag</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2022-10-06</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="ces">Automatizované řízení vozidel a autonomní doprava</title>
    <subTitle language="ces">Technické a humanitní perspektivy</subTitle>
    <identifier type="isbn">978-80-200-3358-1</identifier>
    <enrichment key="THI_openaccess">nein</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <editor>
      <first_name>David</first_name>
      <last_name>Černý</last_name>
    </editor>
    <editor>
      <first_name>Ondrej</first_name>
      <last_name>Vaculin</last_name>
    </editor>
    <editor>
      <first_name>Petr</first_name>
      <last_name>Zámečník</last_name>
    </editor>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>automated vehicles</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>intelligent vehicles</value>
    </subject>
    <subject>
      <language>ces</language>
      <type>uncontrolled</type>
      <value>autonomní vozidla</value>
    </subject>
    <subject>
      <language>ces</language>
      <type>uncontrolled</type>
      <value>inteligentní vozidla</value>
    </subject>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="institutes" number="19318">CARISSMA Institute of Safety in Future Mobility (C-ISAFE)</collection>
    <collection role="persons" number="26510">Vaculin, Ondrej</collection>
  </doc>
  <doc>
    <id>2785</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>15163</pageFirst>
    <pageLast>15174</pageLast>
    <pageNumber/>
    <edition/>
    <issue>12</issue>
    <volume>37</volume>
    <articleNumber/>
    <type>article</type>
    <publisherName>IEEE</publisherName>
    <publisherPlace>Piscataway</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2022-08-29</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Design and Validation of the Parallel Enhanced Commutation Integrated Nested Multilevel Inverter Topology</title>
    <parentTitle language="eng">IEEE Transactions on Power Electronics</parentTitle>
    <identifier type="issn">1941-0107</identifier>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.1109/TPEL.2022.3183859</enrichment>
    <enrichment key="THI_articleversion">published</enrichment>
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    <enrichment key="opus.source">publish</enrichment>
    <author>
      <first_name>Christoph</first_name>
      <last_name>Terbrack</last_name>
    </author>
    <author>
      <first_name>Julia</first_name>
      <last_name>Stöttner</last_name>
    </author>
    <author>
      <first_name>Christian</first_name>
      <last_name>Endisch</last_name>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>drivetrain</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>enhanced commutation integrated nested (ECIN)</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>electric vehicles</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>modular multilevel converter (MMLC)</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>parallel enhanced commutation integrated nested (PECIN)</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>power electronics</value>
    </subject>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="institutes" number="19320">Institut für Innovative Mobilität (IIMo)</collection>
    <collection role="persons" number="26571">Endisch, Christian</collection>
  </doc>
  <doc>
    <id>2866</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>47076</pageFirst>
    <pageLast>47093</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume>10</volume>
    <articleNumber/>
    <type>article</type>
    <publisherName>IEEE</publisherName>
    <publisherPlace>New York</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2022-09-30</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Analysis and Evaluation of Information Redundancy Mitigation for V2X Collective Perception</title>
    <abstract language="eng">Sensor data sharing enables vehicles to exchange locally perceived sensor data among each other and with the roadside infrastructure to increase their environmental awareness. It is commonly regarded as a next-generation vehicular communication service beyond the exchange of highly aggregated messages in the first generation. The approach is being considered in the European standardization process, where it relies on the exchange of locally detected objects representing anything safety-relevant, such as other vehicles or pedestrians, in periodically broadcasted messages to vehicles in direct communication range. Objects filtering methods for inclusion in a message are necessary to avoid overloading a channel and provoking unnecessary data processing. Initial studies provided in a pre-standardization report about sensor data sharing elaborated a first set of rules to filter objects based on their characteristics, such as their dynamics or type. However, these rules still lack the consideration of information received by other stations to operate. Specifically, to address the problem of information redundancy, several rules have been proposed, but their performance has not been evaluated yet comprehensively. In the present work, the rules are further analyzed, assessed, and compared. Functional and operational requirements are investigated. A performance evaluation is realized by discrete-event simulations in a scenario for a representative city with realistic vehicle densities and mobility patterns. A score and other redundancy-level metrics are elaborated to ease the evaluation and comparison of the filtering rules. Finally, improvements and future works to the filtering methods are proposed.</abstract>
    <parentTitle language="eng">IEEE Access</parentTitle>
    <identifier type="issn">2169-3536</identifier>
    <identifier type="urn">urn:nbn:de:bvb:573-28662</identifier>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.1109/ACCESS.2022.3170029</enrichment>
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    <enrichment key="THI_openaccess">ja</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <licence>Creative Commons BY 4.0</licence>
    <author>
      <first_name>Quentin</first_name>
      <last_name>Delooz</last_name>
    </author>
    <author>
      <first_name>Alexander</first_name>
      <last_name>Willecke</last_name>
    </author>
    <author>
      <first_name>Keno</first_name>
      <last_name>Garlichs</last_name>
    </author>
    <author>
      <first_name>Andreas-Christian</first_name>
      <last_name>Hagau</last_name>
    </author>
    <author>
      <first_name>Lars</first_name>
      <last_name>Wolf</last_name>
    </author>
    <author>
      <first_name>Alexey</first_name>
      <last_name>Vinel</last_name>
    </author>
    <author>
      <first_name>Andreas</first_name>
      <last_name>Festag</last_name>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Collective perception</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>information redundancy mitigation</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>road safety</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>sensor data sharing</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>V2X communications</value>
    </subject>
    <collection role="open_access" number="">open_access</collection>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="institutes" number="19319">CARISSMA Institute of Electric, Connected and Secure Mobility (C-ECOS)</collection>
    <collection role="persons" number="25591">Festag, Andreas</collection>
    <collection role="institutes" number="19569">Fraunhofer-Anwendungszentrum "Vernetzte Mobilität und Infrastruktur"</collection>
    <thesisPublisher>Technische Hochschule Ingolstadt</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-haw/files/2866/Analysis_Evaluation_Information_Redundancy.pdf</file>
  </doc>
  <doc>
    <id>2864</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>71</pageFirst>
    <pageLast>72</pageLast>
    <pageNumber/>
    <edition/>
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    <type>conferenceobject</type>
    <publisherName>IEEE</publisherName>
    <publisherPlace>Piscataway (NJ)</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2022-09-30</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Effect of binders on the performance of copper sintering pastes</title>
    <parentTitle language="eng">2022 International Conference on Electronics Packaging (ICEP 2022)</parentTitle>
    <identifier type="isbn">978-4-9911911-3-8</identifier>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.23919/ICEP55381.2022.9795555</enrichment>
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    <enrichment key="THI_conferenceName">2022 International Conference on Electronics Packaging (ICEP), Sapporo (Japan), 11.-14.05.2022</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <author>
      <first_name>Rodolfo</first_name>
      <last_name>Saccon</last_name>
    </author>
    <author>
      <first_name>Alice</first_name>
      <last_name>Benin</last_name>
    </author>
    <author>
      <first_name>Sri Krishna</first_name>
      <last_name>Bhogaraju</last_name>
    </author>
    <author>
      <first_name>Gordon</first_name>
      <last_name>Elger</last_name>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>copper sintering</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>binders</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>nanoparticles</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>reduction</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>alcohols, polyols</value>
    </subject>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="institutes" number="19320">Institut für Innovative Mobilität (IIMo)</collection>
    <collection role="persons" number="26589">Elger, Gordon</collection>
  </doc>
  <doc>
    <id>2861</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>894</pageFirst>
    <pageLast>901</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <articleNumber/>
    <type>conferenceobject</type>
    <publisherName>IEEE</publisherName>
    <publisherPlace>Piscataway (NJ)</publisherPlace>
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    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2022-09-30</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Modeling Geometric Wire Bending Behavior in Needle Winding Processes Using Circular Arcs with Tangential Linear Functions</title>
    <parentTitle language="eng">ITEC+2022: 2022 IEEE/AIAA Transportation Electrification Conference and Electric Aircraft Technologies Symposium (ITEC+EATS)</parentTitle>
    <identifier type="isbn">978-1-6654-0560-7</identifier>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.1109/ITEC53557.2022.9814041</enrichment>
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    <enrichment key="THI_conferenceName">2022 IEEE Transportation Electrification Conference &amp; Expo (ITEC), Anaheim (CA, USA), 15.-17.06.2022</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">true</enrichment>
    <author>
      <first_name>Markus</first_name>
      <last_name>Kohler</last_name>
    </author>
    <author>
      <first_name>David</first_name>
      <last_name>Fendt</last_name>
    </author>
    <author>
      <first_name>Christian</first_name>
      <last_name>Endisch</last_name>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>wire forming</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>manufacturing</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>production systems</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>digital twin</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>machine learning</value>
    </subject>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="institutes" number="19320">Institut für Innovative Mobilität (IIMo)</collection>
    <collection role="persons" number="26571">Endisch, Christian</collection>
  </doc>
  <doc>
    <id>2860</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>874</pageFirst>
    <pageLast>881</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <articleNumber/>
    <type>conferenceobject</type>
    <publisherName>IEEE</publisherName>
    <publisherPlace>Piscataway (NJ)</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2022-09-30</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Physically Inspired Neural Network for Modeling Induction Machine Nonlinear Magnetic Saturation</title>
    <parentTitle language="eng">ITEC+2022: 2022 IEEE/AIAA Transportation Electrification Conference and Electric Aircraft Technologies Symposium (ITEC+EATS)</parentTitle>
    <identifier type="isbn">978-1-6654-0560-7</identifier>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.1109/ITEC53557.2022.9813908</enrichment>
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    <enrichment key="THI_conferenceName">2022 IEEE Transportation Electrification Conference &amp; Expo (ITEC), Anaheim (CA, USA), 15.-17.06.2022</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
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    <author>
      <first_name>Martin</first_name>
      <last_name>Nachtsheim</last_name>
    </author>
    <author>
      <first_name>Thomas</first_name>
      <last_name>Hartmann</last_name>
    </author>
    <author>
      <first_name>Christian</first_name>
      <last_name>Endisch</last_name>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Data-driven modelling</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>neural network</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>system identification</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>magnetic saturation</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
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