@inproceedings{BrunnerDenkHuberetal.2019, author = {Brunner, Pascal and Denk, Florian and Huber, Werner and Kates, Ronald}, title = {Virtual safety performance assessment for automated driving in complex urban traffic scenarios}, booktitle = {2019 IEEE Intelligent Transportation Systems Conference (ITSC)}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-5386-7024-8}, doi = {https://doi.org/10.1109/ITSC.2019.8917517}, pages = {679 -- 685}, year = {2019}, language = {en} } @inproceedings{DenkHuberBrunneretal.2020, author = {Denk, Florian and Huber, Werner and Brunner, Pascal and Kates, Ronald}, title = {The role of perceptual failure and degrading processes in urban traffic accidents: a stochastic computational model for virtual experiments}, booktitle = {2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC)}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-7281-4149-7}, doi = {https://doi.org/10.1109/ITSC45102.2020.9294498}, year = {2020}, language = {en} } @inproceedings{BrunnerLoeckenDenketal.2021, author = {Brunner, Pascal and L{\"o}cken, Andreas and Denk, Florian and Kates, Ronald and Huber, Werner}, title = {Analysis of experimental data on dynamics and behavior of e-scooter riders and applications to the impact of automated driving functions on urban road safety}, booktitle = {2020 IEEE Intelligent Vehicles Symposium (IV)}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-7281-6673-5}, doi = {https://doi.org/10.1109/IV47402.2020.9304835}, pages = {219 -- 225}, year = {2021}, language = {en} } @inproceedings{WurstBalasubramanianBotschetal.2021, author = {Wurst, Jonas and Balasubramanian, Lakshman and Botsch, Michael and Utschick, Wolfgang}, title = {Novelty Detection and Analysis of Traffic Scenario Infrastructures in the Latent Space of a Vision Transformer-Based Triplet Autoencoder}, booktitle = {2021 IEEE Intelligent Vehicles Symposium (IV)}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-7281-5394-0}, doi = {https://doi.org/10.1109/IV48863.2021.9575730}, pages = {1304 -- 1311}, year = {2021}, language = {en} } @article{SchmidBhogarajuLiuetal.2020, author = {Schmid, Maximilian and Bhogaraju, Sri Krishna and Liu, E and Elger, Gordon}, title = {Comparison of Nondestructive Testing Methods for Solder, Sinter, and Adhesive Interconnects in Power and Opto-Electronics}, volume = {10}, pages = {8516}, journal = {Applied Sciences}, number = {23}, publisher = {MDPI}, address = {Basel}, issn = {2076-3417}, doi = {https://doi.org/10.3390/app10238516}, year = {2020}, abstract = {Reliability is one of the major requirements for power and opto-electronic devices across all segments. High operation temperature and/or high thermomechanical stress cause defects and degradation of materials and interconnects, which may lead to malfunctions with costly or even life-threatening consequences. To avoid or at least reduce failures, nondestructive testing (NDT) methods are common within development and production of power and opto-electronics. Currently, the dominating NDT methods are X-ray, scanning acoustic microscopy (SAM), and transient thermal analysis (TTA). However, they have different strengths and weaknesses with respect to materials and mechanical designs. This paper compares these NDT methods for different interconnect technologies, i.e., reflow soldering, adhesive, and sintered interconnection. While X-ray provided adequate results for soldered interfaces, inspection of adhesives and sintered interconnects was not possible. With SAM, evaluation of adhesives and sintered interconnects was also feasible, but quality depended strongly on the sample under test. TTA enabled sufficiently detailed results for all the interconnect applications. Automated TTA equipment, as the in-house developed tester used within this investigation, enabled measurement times compatible with SAM and X-ray. In the investigations, all methods revealed their pros and cons, and their selection has to depend on the sample under tests and the required analysis depth and data details. In the paper, guidelines are formulated for an appropriate decision on the NDT method depending on sample and requirements.}, language = {en} } @article{SchmidBhogarajuHanssetal.2021, author = {Schmid, Maximilian and Bhogaraju, Sri Krishna and Hanss, Alexander and Elger, Gordon}, title = {A new noise-suppression algorithm for transient thermal analysis in semiconductors over pulse superposition}, volume = {70}, pages = {6500409}, journal = {IEEE Transactions on Instrumentation and Measurement}, publisher = {IEEE}, address = {New York}, issn = {0018-9456}, doi = {https://doi.org/10.1109/TIM.2020.3011818}, year = {2021}, language = {en} } @thesis{Hasnain2021, author = {Hasnain, Syed Gazanfar}, title = {Design and construction of a dynamically scaled vehicle for emergency scenario algorithm development}, publisher = {Technische Hochschule Ingolstadt}, address = {Ingolstadt}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:573-11707}, pages = {x, 100}, school = {Technische Hochschule Ingolstadt}, year = {2021}, abstract = {Through the application of the Buckingham Pi theorem, a full-sized vehicle is scaled to create a model vehicle that is both geometrically and dynamically similar. The full-sized vehicle is systematically divided into three distinct sections, which are scaled independently. Each section is first described by an equivalent model to which the Buckingham Pi theorem is applied. The results of the scaling process define the design constraints that must be adhered to during the development of the equivalent scale model. Additional design constraints are added to the scaled vehicle to allow the final design to be flexible in its application and allow for a variety of experiments in subsequent research projects. The design constraints drive the selection of various components affecting the overall system layout. The final design is compared to the perfectly scaled model to determine their degree of similarity. Modifications are required on the final design to match the corresponding Pi groups of the perfectly scaled model. The modifications consist of redistributing the mass of the vehicle to minimize the deviations. Following the changes to the design, a physical model is constructed. The physical model consists of all the selected components and is built to develop and test vehicle control algorithms. The physical model is preliminarily validated against simulations to ensure that the longitudinal and lateral dynamics of the vehicle match those of the fully scaled vehicle. The ultimate goal of the scaled vehicle is to test emergency collision avoidance algorithms in a controlled environment and apply the findings to develop full-scale vehicle controllers in CARISSMA related projects.}, language = {en} } @thesis{Hartinger2021, author = {Hartinger, Florian Xaver}, title = {Machbarkeitsanalyse zur Auswertung von Iridium Bursts zur St{\"u}tzung von Navigationssystemen}, publisher = {Technische Hochschule Ingolstadt}, address = {Ingolstadt}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:573-11696}, pages = {iv, 115}, school = {Technische Hochschule Ingolstadt}, year = {2021}, abstract = {Diese Machbarkeitsanalyse besch{\"a}ftigt sich damit wie mithilfe g{\"a}ngiger Peilverfahren, aus den Signalen von Satelliten der Iridium Next Konstellation, Navigationsdaten zur St{\"u}tzung von Navigationssystemen gewonnen werden k{\"o}nnen.}, language = {de} } @thesis{Froehling2021, author = {Fr{\"o}hling, Felix Korbinian}, title = {Evaluation of CNN-based object detection algorithms of thermal and color image sensors under adverse environment conditions}, publisher = {Technische Hochschule Ingolstadt}, address = {Ingolstadt}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:573-11609}, pages = {xvi, 108}, school = {Technische Hochschule Ingolstadt}, year = {2021}, abstract = {Functional safety is becoming increasingly important in current ADAS systems, especially with technology facing an evolution as responsibility is gradually transferred from the driver to the car. The systems must perceive their environment correctly in any situation but sensors have their limitations. Thus, different sensor types must be combined to compensate the weakness of each sensor. The aim of this work is to find out whether thermal cameras have an added value for object detection in adverse environmental conditions such as rain, fog and different light conditions compared to conventional color cameras. To answer this question, three state-of-the-art algorithms for object detection on images based on neural networks are analyzed and compared. Current state-of-the-art algorithms are based on neural networks and need a large amount of labeled data. This data is generated using IPG CarMaker, a simulation tool, to simulate labeled color and thermal images. Besides synthetic data, also real sensor data is recorded in the CARISSMA test facility, where real adverse environmental conditions can be reproduced. This dataset is used for evaluation, i.e. by comparing the ground-truth data with the neural network predictions from the color and thermal images. With the evaluationdata statements can be done in which situations the algorithm is able to detect the object based on the color and thermal images and thereby what performance the algorithm achieves.}, language = {en} } @thesis{Finkler2021, author = {Finkler, Tim Christian}, title = {Entwicklung und Umsetzung einer lernenden, kamerabasierten Roboteranlage zur Sortierung von Paletten}, publisher = {Technische Hochschule Ingolstadt}, address = {Ingolstadt}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:573-11574}, pages = {47}, school = {Technische Hochschule Ingolstadt}, year = {2021}, abstract = {Das Ziel der vorliegenden Arbeit ist es eine Roboteranlage zu entwickeln, die die Aufgabe der Sortierung und Stapelung von Europaletten {\"u}bernehmen soll. Dazu wird eine ausf{\"u}hrliche Recherche des bisherigen Prozesses und die Anforderungen des Unternehmens genau untersucht. Sobald die Ist-Situation genau definiert ist werden verschiedene L{\"o}sungsvarianten erarbeitet. Die Auswahl der Komponenten, wie z.B. der Roboter, der Effektor und das Kamerasystem werden genau evaluiert. Dies f{\"u}hrt anschließend zu einem umfassenden Gesamtkonzept. In Form eines Prototyps wird ein Großteil des Gesamtkonzepts umgesetzt. Um die Roboteranlage im Anschluss fertigzustellen, werden die einzelnen Schritte dokumentiert.}, language = {de} }