@article{GeisbauerWoehrlMittmannetal.2020, author = {Geisbauer, Christian and W{\"o}hrl, Katharina and Mittmann, Christoph and Schweiger, Hans-Georg}, title = {Review of Safety Aspects of Calendar Aged Lithium Ion Batteries}, volume = {167}, pages = {090523}, journal = {Journal of the Electrochemical Society}, number = {9}, publisher = {IOP Publishing}, address = {Bristol}, issn = {1945-7111}, doi = {https://doi.org/10.1149/1945-7111/ab89bf}, year = {2020}, abstract = {Nowadays, lithium ion batteries have found their place in a various field of portable applications. With the upcoming of electrically propelled vehicles, it is mandatory to guarantee a safe and predictable behavior during the whole lifetime and not only after manufacturing during performance tests. To gain a general overview of the abuse behavior, research on the topic of abusive tests on calendar-aged cells is being investigated, split up depending on the electrode composition and lined up against each other. It can be shown, that almost all abuse experiments have been performed with external heating tests in the past, still leaving research gaps that need to be filled.}, language = {en} } @article{BoehmKubjatkoPaulaetal.2020, author = {B{\"o}hm, Klaus and Kubjatko, Tibor and Paula, Daniel and Schweiger, Hans-Georg}, title = {New developments on EDR (Event Data Recorder) for automated vehicles}, volume = {10}, journal = {Open Engineering}, number = {1}, publisher = {De Gruyter}, address = {Berlin}, issn = {2391-5439}, doi = {https://doi.org/10.1515/eng-2020-0007}, pages = {140 -- 146}, year = {2020}, abstract = {With the upcoming new legislative rules in the EU on Event Data Recorder beginning 2022 the question is whether the discussed data base is sufficient for the needs of clarifying accidents involving automated vehicles. Based on the reconstruction of real accidents including vehicles with ADAS combined with specially designed crash tests a broader data base than US EDR regulation (NHTSA 49 CFR Part 563.7) is proposed. The working group AHEAD, to which the authors contribute, has already elaborated a data model that fits the needs of automated driving. The structure of this data model is shown. Moreover, the special benefits of storing internal video or photo feeds form the vehicle camera systems combined with object data is illustrated. When using a sophisticate 3D measurement method of the accident scene the videos or photos can also serve as a control instance for the stored vehicle data. The AHEAD Data Model enhanced with the storage of the video and photo feeds should be considered in the planned roadmap of the Informal Working Group (IWG) on EDR/ DSSAD (Data Storage System for Automated Driving) reporting to UNECE WP29. Also, a data access over the air using technology already applied in China for electric vehicles called Real Time Monitoring would allow a quantum leap in forensic accident reconstruction.}, language = {en} } @article{StegerNitscheArbesmeieretal.2020, author = {Steger, Fabian and Nitsche, Alexander and Arbesmeier, Alexander and Brade, Katja and Schweiger, Hans-Georg and Belski, Iouri}, title = {Teaching Battery Basics in Laboratories: Hands-On Versus Simulated Experiments}, volume = {63}, journal = {IEEE Transactions on Education}, number = {3}, publisher = {IEEE}, address = {Piscataway}, issn = {1557-9638}, doi = {https://doi.org/10.1109/TE.2020.2970554}, pages = {198 -- 208}, year = {2020}, abstract = {Contribution: Prior studies comparing the effectiveness of different laboratory learning modes do not allow one to draw a universally valid conclusion, as other influences are mixed with the learning modes. In order to contribute to the existing body of work and to add another piece to the puzzle, this article demonstrates an improved methodology to evaluate the effectiveness of computer-simulated laboratories in comparison to hands-on exercises using a battery basics practical course as a case study. Background: Computer-simulated experiments are becoming increasingly popular for conducting laboratory exercises in higher education and vocational training institutions. To ensure the consistent quality of laboratory learning, an accurate comparison between the results of simulated experiments and practical hands-on experiments is required. Intended Outcomes: In this article, the achievement of the following learning objectives were compared between the two laboratory modes: 1) comprehension of the most important parameters of battery cells and 2) knowledge on how these parameters can be determined using adequate experimental procedures. Application Design: To avoid interference of factors other than laboratory mode on the learning, laboratory instructions and experimental interfaces ensured identical execution of the experiments in the compared modes. Using a counterbalanced methodology, the two laboratory modes alternated by the session, while the experimental procedures remained constant regardless of the respective modes. Findings: Tests taken by the participants after conducting the laboratory experiments revealed that hands-on laboratories resulted in statistically significantly better student performance than simulated laboratories. This difference was even more pronounced for the participants that finished a vocational education and training program before the university studies.}, language = {en} } @article{KimStegerKotaketal.2019, author = {Kim, Woong-Ki and Steger, Fabian and Kotak, Bhavya and Knudsen, Peter V. R. and Girgsdies, Uwe and Schweiger, Hans-Georg}, title = {Water Condensation in Traction Battery Systems}, volume = {12}, pages = {1171}, journal = {Energies}, number = {6}, publisher = {MDPI}, address = {Basel}, issn = {1996-1073}, doi = {https://doi.org/10.3390/en12061171}, year = {2019}, abstract = {Lithium-ion traction battery systems of hybrid and electric vehicles must have a high level of durability and reliability like all other components and systems of a vehicle. Battery systems get heated while in the application. To ensure the desired life span and performance, most systems are equipped with a cooling system. The changing environmental condition in daily use may cause water condensation in the housing of the battery system. In this study, three system designs were investigated, to compare different solutions to deal with pressure differences and condensation: (1) a sealed battery system, (2) an open system and (3) a battery system equipped with a pressure compensation element (PCE). These three designs were tested under two conditions: (a) in normal operation and (b) in a maximum humidity scenario. The amount of the condensation in the housing was determined through a change in relative humidity of air inside the housing. Through PCE and available spacing of the housing, moisture entered into the housing during the cooling process. While applying the test scenarios, the gradient-based drift of the moisture into the housing contributed maximum towards the condensation. Condensation occurred on the internal surface for all the three design variants.}, language = {en} } @article{NotomistaBotsch2017, author = {Notomista, Gennaro and Botsch, Michael}, title = {A Machine Learning Approach for the Segmentation of Driving Maneuvers and its Application in Autonomous Parking}, volume = {7}, journal = {Journal of Artificial Intelligence and Soft Computing Research (JAISCR)}, number = {4}, publisher = {De Gruyter Open}, address = {Warschau}, issn = {2449-6499}, doi = {https://doi.org/10.1515/jaiscr-2017-0017}, pages = {243 -- 255}, year = {2017}, abstract = {A classification system for the segmentation of driving maneuvers and its validation in autonomous parking using a small-scale vehicle are presented in this work. The classifiers are designed to detect points that are crucial for the path-planning task, thus enabling the implementation of efficient autonomous parking maneuvers. The training data set is generated by simulations using appropriate vehicle-dynamics models and the resulting classifiers are validated with the small-scale autonomous vehicle. To achieve both a high classification performance and a classification system that can be implemented on a microcontroller with limited computational resources, a two-stage design process is applied. In a first step an ensemble classifier, the Random Forest (RF) algorithm, is constructed and based on the RF-kernel a General Radial Basis Function (GRBF) classifier is generated. The GRBF-classifier is integrated into the small-scale autonomous vehicle leading to excellent performance in parallel-, cross- and oblique- parking maneuvers. The work shows that segmentation using classifies and open-loop control are an efficient approach in autonomous driving for the implementation of driving maneuvers.}, language = {en} } @article{HasirliogluRiener2019, author = {Hasirlioglu, Sinan and Riener, Andreas}, title = {A General Approach for Simulating Rain Effects on Sensor Data in Real and Virtual Environments}, volume = {5}, journal = {IEEE Transactions on Intelligent Vehicles}, number = {3}, publisher = {IEEE}, address = {New York}, issn = {2379-8904}, doi = {https://doi.org/10.1109/TIV.2019.2960944}, pages = {426 -- 438}, year = {2019}, language = {en} } @article{RieglerWintersbergerRieneretal.2019, author = {Riegler, Andreas and Wintersberger, Philipp and Riener, Andreas and Holzmann, Clemens}, title = {Augmented Reality Windshield Displays and Their Potential to Enhance User Experience in Automated Driving}, volume = {18}, journal = {i-com: Journal of Interactive Media}, number = {2}, publisher = {De Gruyter}, address = {Berlin}, issn = {2196-6826}, doi = {https://doi.org/10.1515/icom-2018-0033}, pages = {127 -- 149}, year = {2019}, language = {en} } @article{SequeiraPatelAfrajetal.2020, author = {Sequeira, Gerald Joy and Patel, Akshay and Afraj, Shahabaz and Lugner, Robert and Brandmeier, Thomas}, title = {FEM-based methodology for crash severity estimation in frontal crash scenarios}, volume = {2020}, pages = {012019}, journal = {IOP Conference Series: Materials Science and Engineering}, number = {831}, publisher = {IOP}, address = {Bristol}, issn = {1757-899X}, doi = {https://doi.org/10.1088/1757-899X/831/1/012019}, year = {2020}, abstract = {With the technological development of forward-looking sensors, researchers are exploring their use not only for advanced driver assistance systems but also to gain important pre-crash information. Based on this pre-crash information, if the occupant motion inside the vehicle structure can be predicted for the oncoming crash scenario, then an optimal restraint strategy can be planned before the crash. This paper introduces a two-step FEM simulation based methodology for predicting the occupant severity in head-on crash scenarios. In the first step, we simulate the vehicle level model with different impact positions and relative approach angles. The results of these simulations, linear velocities in the longitudinal and lateral direction and angular velocities (roll, pitch, and yaw) during in-crash phase are the loading conditions for next simulation step (occupant level). This step simulates the motion of the driver in different crash scenarios. In this paper, we investigate the head, neck, and chest injury risks from vehicle-to-vehicle crash both traveling at 50 kilometers per hour. Prediction of the head injury criterion, identifying the cases where additional deployment of side-airbags and discussion of injury criteria with contour plots are the main outcome of this paper.}, language = {en} } @article{WeiglPonocny2020, author = {Weigl, Klemens and Ponocny, Ivo}, title = {Group sequential designs applied in psychological research}, volume = {16}, journal = {Methodology: European Journal of Research Methods for the Behavioral and Social Sciences}, number = {1}, publisher = {PsychOpen}, address = {Trier}, issn = {1614-2241}, doi = {https://doi.org/10.5964/meth.2811}, pages = {75 -- 91}, year = {2020}, abstract = {Psychological research is confronted with ever-increasing demands to save resources such as time and money while assuring high ethical standards. In medical and pharmaceutical research, group sequential designs have fundamentally changed traditional statistical testing approaches featuring only one analysis at the end of a single-stage study. They enable early stopping at an interim stage, after a group of observations, for efficacy or futility in case of an overwhelmingly large or small effect, respectively. Otherwise, the trial is continued to the next stage. On average over many studies time and money are saved and more ethical trials are facilitated by diminishing the risk of patients' exposure to inferior treatments. We provide an easy-to-use tutorial for psychological research replete with easily understandable figures highlighting the core idea of different group sequential designs, a workflow chart, an empirical real-world data set, and the annotated R code. Finally, we demonstrate the application of early stopping for efficacy.}, language = {en} } @inproceedings{deMeerWaedtRennochetal.2019, author = {de Meer, Jan and Waedt, Karl and Rennoch, Axel and Hof, Hans-Joachim}, title = {4th GI/ACM Workshop on standardization of I4.0 automation and control systems}, volume = {2019}, booktitle = {Lecture Notes in Informatics (LNI) - Proceedings}, number = {Volume P-295}, publisher = {Gesellschaft f{\"u}r Informatik}, address = {Bonn}, isbn = {978-3-88579-689-3}, issn = {1617-5468}, doi = {https://doi.org/10.18420/inf2019_ws27}, pages = {241 -- 242}, year = {2019}, language = {en} } @inproceedings{FritzscheFestag2018, author = {Fritzsche, Richard and Festag, Andreas}, title = {Reliability Maximization with Location-Based Scheduling for Cellular-V2X Communications in Highway Scenarios}, booktitle = {2018 16th International Conference on Intelligent Transportation Systems Telecommunications (ITST) Proceedings}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-5386-5544-3}, doi = {https://doi.org/10.1109/ITST.2018.8566935}, year = {2018}, language = {en} } @inproceedings{RienerJeonAlvarezetal.2016, author = {Riener, Andreas and Jeon, Myounghoon and Alvarez, Ignacio and Pfleging, Bastian and Mirnig, Alexander G. and Tscheligi, Manfred and Chuang, Lewis}, title = {1st Workshop on Ethically Inspired User Interfaces for Automated Driving}, booktitle = {AutomotiveUI 2016, 8th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, Adjunct Proceedings}, publisher = {ACM}, address = {New York}, isbn = {978-1-4503-4654-2}, doi = {https://doi.org/10.1145/3004323.3005687}, pages = {217 -- 220}, year = {2016}, language = {en} } @inproceedings{FrisonRienerJeonetal.2018, author = {Frison, Anna-Katharina and Riener, Andreas and Jeon, Myounghoon and Pfleging, Bastian and Alvarez, Ignacio}, title = {Workshop on Designing Highly Automated Driving Systems as Radical Innovation}, booktitle = {Adjunct Proceedings: 10th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications}, publisher = {ACM}, address = {New York}, isbn = {978-1-4503-5947-4}, doi = {https://doi.org/10.1145/3239092.3239097}, pages = {37 -- 43}, year = {2018}, language = {en} } @inproceedings{FrisonPflegingRieneretal.2017, author = {Frison, Anna-Katharina and Pfleging, Bastian and Riener, Andreas and Jeon, Myounghoon and Alvarez, Ignacio and Ju, Wendy}, title = {Workshop on User-Centered Design for Automated Driving Systems}, booktitle = {Adjunct Proceedings: The 9th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications}, publisher = {ACM}, address = {New York}, isbn = {978-1-4503-5151-5}, doi = {https://doi.org/10.1145/3131726.3131734}, pages = {22 -- 27}, year = {2017}, language = {en} } @inproceedings{BoehmlaenderHasirliogluYanoetal.2015, author = {B{\"o}hml{\"a}nder, Dennis and Hasirlioglu, Sinan and Yano, Vitor and Lauerer, Christian and Brandmeier, Thomas and Zimmer, Alessandro}, title = {Advantages in Crash Severity Prediction Using Vehicle to Vehicle Communication}, booktitle = {Proceedings: 2015 45th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops}, publisher = {IEEE}, address = {Los Alamitos}, isbn = {978-1-4673-8044-7}, doi = {https://doi.org/10.1109/DSN-W.2015.23}, pages = {112 -- 117}, year = {2015}, language = {en} } @inproceedings{VriesmanBrittoJuniorZimmeretal.2020, author = {Vriesman, Daniel and Britto Junior, Alceu and Zimmer, Alessandro and Koerich, Alessandro Lameiras}, title = {Texture CNN for thermoelectric metal pipe image classification}, booktitle = {2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI)}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-7281-3798-8}, doi = {https://doi.org/10.1109/ICTAI.2019.00085}, pages = {569 -- 574}, year = {2020}, language = {en} } @article{VriesmanBrittoJuniorZimmeretal.2019, author = {Vriesman, Daniel and Britto Junior, Alceu and Zimmer, Alessandro and Koerich, Alessandro Lameiras and Paludo, Rodrigo}, title = {Automatic visual inspection of thermoelectric metal pipes}, volume = {13}, journal = {Signal, Image and Video Processing}, number = {5}, publisher = {Springer}, address = {London}, issn = {1863-1711}, doi = {https://doi.org/10.1007/s11760-019-01435-2}, pages = {975 -- 983}, year = {2019}, language = {en} } @inproceedings{LopesdaSilvaTabataCardosoBrotoetal.2020, author = {Lopes da Silva, Joed and Tabata, Alan Naoto and Cardoso Broto, Lucas and Pereira Cocron, Marta and Zimmer, Alessandro and Brandmeier, Thomas}, title = {Open Source Multipurpose Multimedia Annotation Tool}, booktitle = {Image Analysis and Recognition: 17th International Conference, ICIAR 2020, Proceedings, Part I}, editor = {Campilho, Aur{\´e}lio and Karray, Fakhri and Wang, Zhou}, publisher = {Springer}, address = {Cham}, isbn = {978-3-030-50346-8}, issn = {0302-9743}, doi = {https://doi.org/10.1007/978-3-030-50347-5_31}, pages = {356 -- 367}, year = {2020}, language = {en} } @article{KundingerSofraRiener2020, author = {Kundinger, Thomas and Sofra, Nikoletta and Riener, Andreas}, title = {Assessment of the Potential of Wrist-Worn Wearable Sensors for Driver Drowsiness Detection}, volume = {20}, pages = {1029}, journal = {Sensors}, number = {4}, publisher = {MDPI}, address = {Basel}, issn = {1424-8220}, doi = {https://doi.org/10.3390/s20041029}, year = {2020}, abstract = {Drowsy driving imposes a high safety risk. Current systems often use driving behavior parameters for driver drowsiness detection. The continuous driving automation reduces the availability of these parameters, therefore reducing the scope of such methods. Especially, techniques that include physiological measurements seem to be a promising alternative. However, in a dynamic environment such as driving, only non- or minimal intrusive methods are accepted, and vibrations from the roadbed could lead to degraded sensor technology. This work contributes to driver drowsiness detection with a machine learning approach applied solely to physiological data collected from a non-intrusive retrofittable system in the form of a wrist-worn wearable sensor. To check accuracy and feasibility, results are compared with reference data from a medical-grade ECG device. A user study with 30 participants in a high-fidelity driving simulator was conducted. Several machine learning algorithms for binary classification were applied in user-dependent and independent tests. Results provide evidence that the non-intrusive setting achieves a similar accuracy as compared to the medical-grade device, and high accuracies (>92\%) could be achieved, especially in a user-dependent scenario. The proposed approach offers new possibilities for human-machine interaction in a car and especially for driver state monitoring in the field of automated driving.}, language = {en} } @unpublished{KruberWurstBotsch2020, author = {Kruber, Friedrich and Wurst, Jonas and Botsch, Michael}, title = {An Unsupervised Random Forest Clustering Technique for Automatic Traffic Scenario Categorization}, publisher = {arXiv}, address = {Ithaca}, doi = {https://doi.org/10.48550/arXiv.2004.02121}, year = {2020}, language = {en} } @inproceedings{KundingerRienerSofraetal.2018, author = {Kundinger, Thomas and Riener, Andreas and Sofra, Nikoletta and Weigl, Klemens}, title = {Drowsiness Detection and Warning in Manual and Automated Driving: Results from Subjective Evaluation}, booktitle = {Proceedings: 10th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications}, publisher = {ACM}, address = {New York}, isbn = {978-1-4503-5946-7}, doi = {https://doi.org/10.1145/3239060.3239073}, pages = {229 -- 236}, year = {2018}, language = {en} } @inproceedings{RienerGeislerPflegingetal.2019, author = {Riener, Andreas and Geisler, Stefan and Pfleging, Bastian and von Sawitzky, Tamara and Detjen, Henrik}, title = {8th Workshop Automotive HMIs: UI Research in the Age of New Digital Realities}, booktitle = {Mensch und Computer 2019 - Workshopband}, publisher = {Gesellschaft f{\"u}r Informatik}, address = {Bonn}, doi = {https://doi.org/10.18420/muc2019-ws-282}, pages = {397 -- 399}, year = {2019}, language = {en} } @inproceedings{KundingerRienerSofra2017, author = {Kundinger, Thomas and Riener, Andreas and Sofra, Nikoletta}, title = {A Robust Drowsiness Detection Method based on Vehicle and Driver Vital Data}, booktitle = {Mensch und Computer 2017 - Workshopband}, editor = {Burghardt, Manuel and Wimmer, Raphael and Wolff, Christian and Womser-Hacker, Christa}, publisher = {Gesellschaft f{\"u}r Informatik}, address = {Regensburg}, doi = {https://doi.org/10.18420/muc2017-ws09-0307}, pages = {433 -- 440}, year = {2017}, language = {en} } @inproceedings{KruberWurstBotsch2018, author = {Kruber, Friedrich and Wurst, Jonas and Botsch, Michael}, title = {An Unsupervised Random Forest Clustering Technique for Automatic Traffic Scenario Categorization}, booktitle = {2018 IEEE Intelligent Transportation Systems Conference}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-7281-0323-5}, doi = {https://doi.org/10.1109/ITSC.2018.8569682}, pages = {2811 -- 2818}, year = {2018}, language = {en} } @article{DeepHeldSundarRametal.2020, author = {Deep, Yoshana and Held, Patrick and Sundar Ram, Shobha and Steinhauser, Dagmar and Gupta, Anshu and Gruson, Frank and Koch, Andreas and Roy, Anirban}, title = {Radar cross-sections of pedestrians at automotive radar frequencies using ray tracing and point scatterer modelling}, volume = {14}, journal = {IET Radar, Sonar \& Navigation}, number = {6}, publisher = {IET}, address = {Stevenage}, issn = {1751-8792}, doi = {https://doi.org/10.1049/iet-rsn.2019.0471}, pages = {833 -- 844}, year = {2020}, language = {en} } @inproceedings{ChaulwarAlHashimiBotschetal.2019, author = {Chaulwar, Amit and Al-Hashimi, Hussein and Botsch, Michael and Utschick, Wolfgang}, title = {Efficient hybrid machine learning algorithm for trajectory planning in critical traffic-scenarios}, booktitle = {The 4th International Conference on Intelligent Transportation Engineering, ICITE 2019}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-7281-4553-2}, doi = {https://doi.org/10.1109/ICITE.2019.8880266}, pages = {196 -- 202}, year = {2019}, language = {en} } @inproceedings{SanchezMoralesBotschHuberetal.2019, author = {S{\´a}nchez Morales, Eduardo and Botsch, Michael and Huber, Bertold and Garc{\´i}a Higuera, Andr{\´e}s}, title = {High precision indoor navigation for autonomous vehicles}, booktitle = {2019 International Conference on Indoor Positioning and Indoor Navigation}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-7281-1788-1}, doi = {https://doi.org/10.1109/IPIN.2019.8911780}, year = {2019}, language = {en} } @inproceedings{GallitzdeCandidoBotschetal.2019, author = {Gallitz, Oliver and de Candido, Oliver and Botsch, Michael and Utschick, Wolfgang}, title = {Interpretable feature generation using deep neural networks and its application to lane change detection}, 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.2019.8917524}, pages = {3405 -- 3411}, year = {2019}, language = {en} } @article{RienerJeon2019, author = {Riener, Andreas and Jeon, Myounghoon}, title = {Guest editors' introduction: multimodal technologies and interaction in the era of automated driving}, volume = {3}, pages = {41}, journal = {Multimodal Technologies and Interaction}, number = {2}, publisher = {MDPI}, address = {Basel}, issn = {2414-4088}, doi = {https://doi.org/10.3390/mti3020041}, year = {2019}, language = {en} } @inproceedings{BiankHuberMeyeretal.2019, author = {Biank, Sanjana and Huber, Werner and Meyer, Matthias and Hof, Hans-Joachim and Hempen, Thomas}, title = {Model-based security and safety assurance for automotive safety systems}, booktitle = {Proceedings of 3. ACM Computer Science in Cars Symposium (CSCS 2019)}, subtitle = {Extended Abstract}, publisher = {ACM}, address = {New York}, url = {https://acm-cscs.org/_/2019/}, year = {2019}, language = {en} } @inproceedings{ZaumseilSteinhauserHeldetal.2019, author = {Zaumseil, Patrick and Steinhauser, Dagmar and Held, Patrick and Kamann, Alexander and Brandmeier, Thomas}, title = {Radar-based near field environment perception using back projection algorithm}, booktitle = {European Microwave Week 2019: "Universality Through Microwaves" Conference Proceedings}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-2-87487-057-6}, url = {https://ieeexplore.ieee.org/document/8904568}, pages = {257 -- 260}, year = {2019}, language = {en} } @inproceedings{SteinhauserHeldKamannetal.2019, author = {Steinhauser, Dagmar and Held, Patrick and Kamann, Alexander and Koch, Andreas and Brandmeier, Thomas}, title = {Micro-Doppler extraction of pedestrian limbs for high resolution automotive radar}, booktitle = {2019 IEEE Intelligent Vehicles Symposium (IV)}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-7281-0560-4}, issn = {2642-7214}, doi = {https://doi.org/10.1109/IVS.2019.8813850}, pages = {764 -- 769}, year = {2019}, language = {en} } @inproceedings{HasirliogluRewayKlingenbergetal.2019, author = {Hasirlioglu, Sinan and Reway, Fabio and Klingenberg, Tim and Riener, Andreas and Huber, Werner}, title = {Raindrops on the Windshield: Performance Assessment of Camera-based Object Detection}, booktitle = {2019 IEEE International Conference on Vehicular Electronics and Safety (ICVES)}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-7281-3473-4}, doi = {https://doi.org/10.1109/ICVES.2019.8906344}, year = {2019}, language = {en} } @book{TinnefeldBuchnerPetrietal.2019, author = {Tinnefeld, Marie-Theres and Buchner, Benedikt and Petri, Thomas and Hof, Hans-Joachim}, title = {Einf{\"u}hrung in das Datenschutzrecht}, subtitle = {Datenschutz und Informationsfreiheit in europ{\"a}ischer Sicht}, edition = {7., {\"u}berarbeitete und aktualisierte Auflage}, publisher = {De Gruyter Oldenbourg}, address = {Berlin}, isbn = {978-3-11-063031-2}, doi = {https://doi.org/10.1515/9783110630336}, pages = {XXXIX, 563}, year = {2019}, language = {de} } @inproceedings{SeifertHempenHuber2019, author = {Seifert, Georg and Hempen, Thomas and Huber, Werner}, title = {Aufbau einer Mixed-Reality-Versuchsumgebung zur Absicherung autonomer Systeme}, booktitle = {Echtzeit 2019: Autonome Systeme - 50 Jahre PEARL}, publisher = {Springer}, address = {Wiesbaden}, isbn = {978-3-658-27808-3}, doi = {https://doi.org/10.1007/978-3-658-27808-3_5}, pages = {43 -- 52}, year = {2019}, language = {de} } @inproceedings{BoffiWintersbergerCesarettietal.2019, author = {Boffi, Laura and Wintersberger, Philipp and Cesaretti, Paola and Mincolelli, Guiseppe and Riener, Andreas}, title = {The first co-drive experience prototype}, booktitle = {Adjunct Proceedings: 11th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications}, publisher = {ACM}, address = {New York}, isbn = {978-1-4503-6920-6}, doi = {https://doi.org/10.1145/3349263.3351318}, pages = {254 -- 259}, year = {2019}, language = {en} } @article{RienerMirnig2019, author = {Riener, Andreas and Mirnig, Alexander G.}, title = {Guest Editors Introduction to the Special Issue "User-Centered Design for Automated Vehicles: HMIs, User Needs, and Preferences"}, volume = {18}, journal = {i-com: Journal of Interactive Media}, number = {2}, publisher = {De Gruyter}, address = {Berlin}, issn = {2196-6826}, doi = {https://doi.org/10.1515/icom-2019-0014}, pages = {101 -- 103}, year = {2019}, language = {en} } @inproceedings{NeumeierGayDannheimetal.2018, author = {Neumeier, Stefan and Gay, Nicolas and Dannheim, Clemens and Facchi, Christian}, title = {On the way to autonomous vehicles teleoperated driving}, booktitle = {AmE 2018: Automotive meets Electronics Beitr{\"a}ge der 9. GMM-Fachtagung}, publisher = {VDE Verlag}, address = {Berlin}, isbn = {978-3-8007-4524-1}, url = {https://ieeexplore.ieee.org/document/8402813}, pages = {49 -- 54}, year = {2018}, language = {en} } @inproceedings{ObermaierRieblFacchi2018, author = {Obermaier, Christina and Riebl, Raphael and Facchi, Christian}, title = {Fully Reactive Hardware-in-the-Loop Simulation for VANET Devices}, booktitle = {2018 IEEE Intelligent Transportation Systems Conference}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-7281-0323-5}, doi = {https://doi.org/10.1109/ITSC.2018.8569663}, pages = {3755 -- 3760}, year = {2018}, language = {en} } @inproceedings{ZeindlFacchi2019, author = {Zeindl, Markus and Facchi, Christian}, title = {Measuring Architectural Misfit: A Preliminary Real Life Study}, booktitle = {2018 IEEE/WIC/ACM International Conference on Web Intelligence - WI 2018. 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{https://doi.org/10.1109/ICVES.2019.8906471}, year = {2019}, language = {en} } @inproceedings{SimonFrankeRiegletal.2019, author = {Simon, Bruno and Franke, Florian and Riegl, Peter and Gaull, Andreas}, title = {Motion planning for collision mitigation via FEM-based crash severity maps}, booktitle = {2019 IEEE Intelligent Vehicles Symposium (IV)}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-7281-0560-4}, doi = {https://doi.org/10.1109/IVS.2019.8813832}, pages = {2187 -- 2194}, year = {2019}, language = {en} } @inproceedings{SpethRieblBrandmeieretal.2016, author = {Speth, Thomas and Riebl, Raphael and Brandmeier, Thomas and Facchi, Christian and Al-Bayatti, Ali H. and Jumar, Ulrich}, title = {Enhanced Inter-Vehicular relative positioning}, booktitle = {2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC)}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-5090-1889-5}, doi = {https://doi.org/10.1109/ITSC.2016.7795657}, pages = {867 -- 872}, year = {2016}, language = {en} } @inproceedings{ZeindlSeitzFacchi2017, author = {Zeindl, Markus and Seitz, Markus and Facchi, Christian}, title = {Correlation of Change Size to Fault-Proneness: A Real Life Case Study}, booktitle = {2016 IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA): Proceedings}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-5090-4320-0}, issn = {2161-5330}, doi = {https://doi.org/10.1109/AICCSA.2016.7945799}, year = {2017}, language = {en} } @inproceedings{GuentherRieblWolfetal.2017, author = {G{\"u}nther, Hendrik-J{\"o}rn and Riebl, Raphael and Wolf, Lars and Facchi, Christian}, title = {Collective perception and decentralized congestion control in vehicular ad-hoc networks}, booktitle = {2016 IEEE Vehicular Networking Conference (VNC)}, editor = {Altintas, Onur and Ekici, Eylem and Tsai, Michael and Sepulcre, Miguel and Bloessl, Bastian and Wei, Yu-Lin}, publisher = {IEEE}, address = {Piscataway}, isbn = 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