@article{WintersbergerSchartmuellerSadeghianetal.2021, author = {Wintersberger, Philipp and Schartm{\"u}ller, Clemens and Sadeghian, Shadan and Frison, Anna-Katharina and Riener, Andreas}, title = {Evaluation of Imminent Take-Over Requests With Real Automation on a Test Track}, volume = {65}, journal = {Human Factors: The Journal of the Human Factors and Ergonomics Society}, number = {8}, publisher = {SAGE}, address = {London}, issn = {0018-7208}, doi = {https://doi.org/10.1177/00187208211051435}, pages = {1776 -- 1792}, year = {2021}, language = {en} } @inproceedings{RewayFunkDrechslerMurthyetal.2022, author = {Reway, Fabio and Funk Drechsler, Maikol and Murthy, Ravikiran and Poledna, Yuri and Huber, Werner and Icking, Christian}, title = {Simulation-based test methods with an automotive camera-in-the-loop for automated driving algorithms}, booktitle = {2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)}, publisher = {IEEE}, address = {Piscataway (NJ)}, isbn = {978-1-6654-7095-7}, doi = {https://doi.org/10.1109/ICECCME55909.2022.9988437}, year = {2022}, language = {en} } @inproceedings{KuenSchartmuellerWintersberger2021, author = {Kuen, Jakob and Schartm{\"u}ller, Clemens and Wintersberger, Philipp}, title = {The TOR Agent: Optimizing Driver Take-Over with Reinforcement Learning}, booktitle = {Adjunct Proceedings: 13th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications}, publisher = {ACM}, address = {New York}, isbn = {978-1-4503-8641-8}, doi = {https://doi.org/10.1145/3473682.3480262}, pages = {47 -- 52}, year = {2021}, language = {en} } @inproceedings{YahyaeiSeifertHempenetal.2022, author = {Yahyaei, Mahdi and Seifert, Georg and Hempen, Thomas and Huber, Werner}, title = {Review of exteroceptive sensors for autonomous driving}, booktitle = {2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-6654-6880-0}, doi = {https://doi.org/10.1109/ITSC55140.2022.9922379}, pages = {4005 -- 4010}, year = {2022}, language = {en} } @inproceedings{WachtelGranadoEdlerSchroederetal.2022, author = {Wachtel Granado, Diogo and Edler, Johannes and Schr{\"o}der, Sabine and Queiroz, Samuel and Huber, Werner}, title = {Convolutional Neural Network Classification of Vulnerable Road Users based on Micro-Doppler Signatures using an Automotive Radar}, booktitle = {2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-6654-6880-0}, doi = {https://doi.org/10.1109/ITSC55140.2022.9921852}, pages = {866 -- 872}, year = {2022}, language = {en} } @article{HimmelsWeiglRieneretal.2023, author = {Himmels, Chantal and Weigl, Klemens and Riener, Andreas and Venrooij, Joost}, title = {Establishing driving simulator validity: drawbacks of null-hypothesis significance testing when compared to equivalence tests and Bayes factors}, journal = {Theoretical Issues in Ergonomics Science}, publisher = {Taylor \& Francis}, address = {London}, issn = {1464-536X}, doi = {https://doi.org/10.1080/1463922X.2023.2286478}, year = {2023}, language = {en} } @article{PeintnerEscherDetjenetal.2024, author = {Peintner, Jakob and Escher, Bengt and Detjen, Henrik and Manger, Carina and Riener, Andreas}, title = {How to Design Human-Vehicle Cooperation for Automated Driving: A Review of Use Cases, Concepts, and Interfaces}, volume = {8}, pages = {16}, journal = {Multimodal Technologies and Interaction}, number = {3}, publisher = {MDPI}, address = {Basel}, issn = {2414-4088}, doi = {https://doi.org/10.3390/mti8030016}, year = {2024}, abstract = {Currently, a significant gap exists between academic and industrial research in automated driving development. Despite this, there is common sense that cooperative control approaches in automated vehicles will surpass the previously favored takeover paradigm in most driving situations due to enhanced driving performance and user experience. Yet, the application of these concepts in real driving situations remains unclear, and a holistic approach to driving cooperation is missing. Existing research has primarily focused on testing specific interaction scenarios and implementations. To address this gap and offer a contemporary perspective on designing human-vehicle cooperation in automated driving, we have developed a three-part taxonomy with the help of an extensive literature review. The taxonomy broadens the notion of driving cooperation towards a holistic and application-oriented view by encompassing (1) the "Cooperation Use Case", (2) the "Cooperation Frame", and (3) the "Human-Machine Interface". We validate the taxonomy by categorizing related literature and providing a detailed analysis of an exemplar paper. The proposed taxonomy offers designers and researchers a concise overview of the current state of driver cooperation and insights for future work. Further, the taxonomy can guide automotive HMI designers in ideation, communication, comparison, and reflection of cooperative driving interfaces.}, language = {en} } @inproceedings{RothmeierWachtelGranadovonDemBusscheHuennefeldetal.2023, author = {Rothmeier, Thomas and Wachtel Granado, Diogo and von Dem Bussche-H{\"u}nnefeld, Tetmar and Huber, Werner}, title = {I Had a Bad Day: Challenges of Object Detection in Bad Visibility Conditions}, booktitle = {IEEE IV 2023 Symposium Proceedings}, publisher = {IEEE}, address = {Piscataway}, isbn = {979-8-3503-4691-6}, doi = {https://doi.org/10.1109/IV55152.2023.10186674}, year = {2023}, language = {en} } @article{FunkDrechslerFiorentinGoellinger2021, author = {Funk Drechsler, Maikol and Fiorentin, Thiago Antonio and G{\"o}llinger, Harald}, title = {Actor-Critic Traction Control Based on Reinforcement Learning with Open-Loop Training}, volume = {2021}, pages = {4641450}, journal = {Modelling and Simulation in Engineering}, publisher = {Hindawi}, address = {New York}, issn = {1687-5605}, doi = {https://doi.org/10.1155/2021/4641450}, year = {2021}, abstract = {The use of actor-critic algorithms can improve the controllers currently implemented in automotive applications. This method combines reinforcement learning (RL) and neural networks to achieve the possibility of controlling nonlinear systems with real-time capabilities. Actor-critic algorithms were already applied with success in different controllers including autonomous driving, antilock braking system (ABS), and electronic stability control (ESC). However, in the current researches, virtual environments are implemented for the training process instead of using real plants to obtain the datasets. This limitation is given by trial and error methods implemented for the training process, which generates considerable risks in case the controller directly acts on the real plant. In this way, the present research proposes and evaluates an open-loop training process, which permits the data acquisition without the control interaction and an open-loop training of the neural networks. The performance of the trained controllers is evaluated by a design of experiments (DOE) to understand how it is affected by the generated dataset. The results present a successful application of open-loop training architecture. The controller can maintain the slip ratio under adequate levels during maneuvers on different floors, including grounds that are not applied during the training process. The actor neural network is also able to identify the different floors and change the acceleration profile according to the characteristics of each ground.}, language = {en} } @inproceedings{RollwagenSchussRiener2023, author = {Rollwagen, Alice and Schuß, Martina and Riener, Andreas}, title = {Enhancing Accessibility for Diverse User Groups in Automated Shuttle Buses: Implications from a User Enactment Study}, booktitle = {15th International ACM Conference on Automotive User Interfaces: Adjunct Conference Proceedings}, publisher = {ACM}, address = {New York}, isbn = {979-8-4007-0112-2}, doi = {https://doi.org/10.1145/3581961.3609876}, pages = {77 -- 82}, year = {2023}, language = {en} } @inproceedings{deCandidoKollerGallitzetal.2020, author = {de Candido, Oliver and Koller, Michael and Gallitz, Oliver and Melz, Ron and Botsch, Michael and Utschick, Wolfgang}, title = {Towards feature validation in time to lane change classification using deep neural networks}, 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/ITSC45102.2020.9294555}, year = {2020}, language = {en} } @inproceedings{NadarajanBotschSardina2024, author = {Nadarajan, Parthasarathy and Botsch, Michael and Sardina, Sebastian}, title = {Continuous Probabilistic Motion Prediction based on Latent Space Interpolation}, booktitle = {2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)}, publisher = {IEEE}, address = {Piscataway}, isbn = {979-8-3503-9946-2}, doi = {https://doi.org/10.1109/ITSC57777.2023.10422685}, pages = {3796 -- 3803}, year = {2024}, language = {en} } @inproceedings{DenkHimmelsAndreevetal.2024, author = {Denk, Florian and Himmels, Chantal and Andreev, Vladislav and Lindner, Johannes and Syed, Arslan Ali and Riener, Andreas and Huber, Werner and Kates, Ronald}, title = {Studying Interactions of Motorists and Vulnerable Road Users: Empirical Comparison of Test Track and Simulator Experiments}, booktitle = {2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)}, publisher = {IEEE}, address = {Piscataway}, isbn = {979-8-3503-9946-2}, doi = {https://doi.org/10.1109/ITSC57777.2023.10421865}, pages = {992 -- 999}, year = {2024}, language = {en} } @inproceedings{WachtelGranadoQueirozSchoenetal.2024, author = {Wachtel Granado, Diogo and Queiroz, Samuel and Sch{\"o}n, Torsten and Huber, Werner and Faria, Lester}, title = {A novel Conditional Generative Adversarial Networks for Automotive Radar Range-Doppler Targets Synthetic Generation}, booktitle = {2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)}, publisher = {IEEE}, address = {Piscataway}, isbn = {979-8-3503-9946-2}, doi = {https://doi.org/10.1109/ITSC57777.2023.10422067}, pages = {3964 -- 3969}, year = {2024}, language = {en} } @inproceedings{BalasubramanianWurstEgolfetal.2024, author = {Balasubramanian, Lakshman and Wurst, Jonas and Egolf, Robin and Botsch, Michael and Utschick, Wolfgang and Deng, Ke}, title = {SceneDiffusion: Conditioned Latent Diffusion Models for Traffic Scene Prediction}, booktitle = {2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)}, publisher = {IEEE}, address = {Piscataway}, isbn = {979-8-3503-9946-2}, doi = {https://doi.org/10.1109/ITSC57777.2023.10422482}, pages = {3914 -- 3921}, year = {2024}, language = {en} } @inproceedings{NeumeierDornBotschetal.2024, author = {Neumeier, Marion and Dorn, Sebastian and Botsch, Michael and Utschick, Wolfgang}, title = {Prediction and Interpretation of Vehicle Trajectories in the Graph Spectral Domain}, booktitle = {2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)}, publisher = {IEEE}, address = {Piscataway}, isbn = {979-8-3503-9946-2}, doi = {https://doi.org/10.1109/ITSC57777.2023.10422530}, pages = {1172 -- 1179}, year = {2024}, language = {en} } @inproceedings{vonSawitzkyWintersbergerMatviienkoetal.2021, author = {von Sawitzky, Tamara and Wintersberger, Philipp and Matviienko, Andrii and L{\"o}cken, Andreas and Riener, Andreas and Michahelles, Florian}, title = {Workshop on Intelligent Cyclist Support Systems and Applications}, booktitle = {Mensch und Computer 2021 - Workshopband}, editor = {Wienrich, Carolin and Wintersberger, Philipp and Weyers, Benjamin}, publisher = {Gesellschaft f{\"u}r Informatik e.V.}, address = {Bonn}, doi = {https://doi.org/10.18420/muc2021-mci-ws12-122}, year = {2021}, language = {en} } @inproceedings{GallitzdeCandidoBotschetal.2021, author = {Gallitz, Oliver and de Candido, Oliver and Botsch, Michael and Utschick, Wolfgang}, title = {Interpretable Early Prediction of Lane Changes Using a Constrained Neural Network Architecture}, booktitle = {2021 IEEE International Intelligent Transportation Systems Conference (ITSC)}, publisher = {IEEE}, address = {Piscataway (NJ)}, isbn = {978-1-7281-9142-3}, doi = {https://doi.org/10.1109/ITSC48978.2021.9564555}, pages = {493 -- 499}, year = {2021}, language = {en} } @article{HaimerlColleyRiener2022, author = {Haimerl, Mathias and Colley, Mark and Riener, Andreas}, title = {Evaluation of Common External Communication Concepts of Automated Vehicles for People With Intellectual Disabilities}, volume = {6}, pages = {182}, journal = {Proceedings of the ACM on Human-Computer Interaction}, number = {MHCI}, publisher = {ACM}, address = {New York}, issn = {2573-0142}, doi = {https://doi.org/10.1145/3546717}, year = {2022}, language = {en} } @inproceedings{MangerPuschThoeneetal.2023, author = {Manger, Carina and Pusch, Florian and Th{\"o}ne, Manuel and Wenger, Marco and L{\"o}cken, Andreas and Riener, Andreas}, title = {Explainability in Automated Parking: The Effect of Augmented Reality Visualizations on User Experience and Situation Awareness}, booktitle = {Proceedings of MUM 2023: the 22nd International Conference on Mobile and Ubiquitous Multimedia}, editor = {Michahelles, Florian and Knierim, Pascal and H{\"a}kkil{\"a}, Jonna}, publisher = {ACM}, address = {New York}, isbn = {979-8-4007-0921-0}, doi = {https://doi.org/10.1145/3626705.3627796}, pages = {146 -- 152}, year = {2023}, language = {en} }