@inproceedings{SezginVriesmanHeldetal.2022, author = {Sezgin, Fatih and Vriesman, Daniel and Held, Patrick and Zimmer, Alessandro and Brandmeier, Thomas}, title = {A Deep Learning Approach for Pedestrian Behavior Interpretation Based on Radar Point Clouds}, booktitle = {2021 18th European Radar Conference Proceedings}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-2-87487-065-1}, doi = {https://doi.org/10.23919/EuRAD50154.2022.9784515}, pages = {66 -- 69}, year = {2022}, language = {en} } @inproceedings{SequeiraHarlapurObandoOrtegonetal.2021, author = {Sequeira, Gerald Joy and Harlapur, Bhuvan and Obando Ortegon, David and Lugner, Robert and Brandmeier, Thomas and Soloiu, Valentin}, title = {Investigation of Influence from Variation in Color on LiDAR Sensor for Perception of Environment in Autonomous Vehicles}, booktitle = {Proceedings ELMAR-2021: 63rd International Symposium ELMAR-2021}, editor = {Muštra, Mario and Vukovic, Josip and Zovko-Cihlar, Branka}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-6654-4437-8}, doi = {https://doi.org/10.1109/ELMAR52657.2021.9550943}, pages = {71 -- 76}, year = {2021}, language = {en} } @article{GrafSteinhauserVaculinetal.2025, author = {Graf, Michael and Steinhauser, Dagmar and Vaculin, Ondrej and Brandmeier, Thomas}, title = {Impact of Adverse Weather on Road Safety: A Survey of Test Methods for Enhancing Safety of Automated Vehicles and Sensor Robustness in Challenging Environmental Conditions}, volume = {13}, journal = {IEEE Access}, publisher = {IEEE}, address = {New York}, issn = {2169-3536}, doi = {https://doi.org/10.1109/ACCESS.2025.3622501}, pages = {179817 -- 179838}, year = {2025}, abstract = {Adverse weather conditions can significantly affect environmental sensors and reduce the ability of automated vehicles to interpret the environment. This can lead to the failure of driving and safety functions. To validate and increase the robustness of these, several adverse weather test methods have been introduced in recent years. The survey first gives an overview of the current traffic and accident analysis with a focus on adverse weather influences to assess the most relevant weather phenomena. Overall, rain and glare are the statistically most important adverse weather phenomena in terms of accidents. Heavy fog is rare but can cause very serious accidents. In a second step, meteorological knowledge is incorporated and the key environmental indicators for the respective weather conditions are determined, particularly taking the environmental sensor characteristics into account. Both sets of information are then utilized to provide a qualified overview of simulative and physical test methods used to reproduce critical adverse weather situations. These methods are employed to investigate the disturbance effects of inclement weather on sensors and to test the robustness of automated vehicles. The paper reveals that various approaches are used to reproduce weather effects and that test methods, each with different advantages and disadvantages, have been developed to varying degrees depending on the type of the weather phenomena. Overall, this review integrates perspectives from road safety research, meteorology, and testing methodologies to provide new insights into the validation of automated driving systems in challenging weather conditions.}, language = {en} } @inproceedings{SequeiraInderstXhikuetal.2025, author = {Sequeira, Gerald Joy and Inderst, Maximilian and Xhiku, Redjon and Lugner, Robert and Brandmeier, Thomas}, title = {Sigmoid-Based Method for Longitudinal Crash Pulse Prediction in Intelligent Vehicles}, booktitle = {2024 IEEE International Conference on Vehicular Electronics and Safety (ICVES)}, publisher = {IEEE}, address = {Piscataway}, isbn = {979-8-3503-8727-8}, doi = {https://doi.org/10.1109/ICVES61986.2024.10927899}, year = {2025}, language = {en} } @inproceedings{InderstLugnerBrandmeieretal.2023, author = {Inderst, Maximilian and Lugner, Robert and Brandmeier, Thomas and Mehrzed, Shaen and Sequeira, Gerald Joy and Griebeler, Marcelo}, title = {Definition of Requirements for the Temporal Accuracy of Inevitability Evaluation in Integral Pre-crash Systems}, booktitle = {FAST-Zero'23: 7th International Symposium on Future Active Safety Technology toward Zero Accidents - Proceedings}, publisher = {JSAE}, address = {Gobancho}, url = {https://tech.jsae.or.jp/paperinfo/en/content/conf2023-03.004/}, year = {2023}, language = {en} } @inproceedings{HeldSteinhauserKamannetal.2019, author = {Held, Patrick and Steinhauser, Dagmar and Kamann, Alexander and Koch, Andreas and Brandmeier, Thomas and Schwarz, Ulrich}, title = {Micro-Doppler extraction of bicycle pedaling movements using automotive radar}, booktitle = {2019 IEEE Intelligent Vehicles Symposium (IV)}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-7281-0560-4}, doi = {https://doi.org/10.1109/IVS.2019.8813828}, pages = {744 -- 749}, year = {2019}, language = {en} } @article{BrunetiSeverinoZimmerBrandmeieretal.2019, author = {Bruneti Severino, Jo{\~a}o Victor and Zimmer, Alessandro and Brandmeier, Thomas and Zanetti Freire, Roberto}, title = {Pedestrian recognition using micro Doppler effects of radar signals based on machine learning and multi-objective optimization}, volume = {2019}, journal = {Expert Systems with Applications}, number = {136}, publisher = {Elsevier}, address = {Amsterdam}, issn = {0957-4174}, doi = {https://doi.org/10.1016/j.eswa.2019.06.048}, pages = {304 -- 315}, year = {2019}, language = {en} } @inproceedings{ZaumseilEngertZdetskietal.2023, author = {Zaumseil, Patrick and Engert, Rainer and Zdetski, Dennis and Steinhauser, Dagmar and Jumar, Ulrich and Brandmeier, Thomas}, title = {Radar Signature of a Micro-Doppler generating Soft-Target for Automotive Pre-Crash Systems}, booktitle = {2023 20th European Radar Conference: Proceedings}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-2-87487-074-3}, doi = {https://doi.org/10.23919/EuRAD58043.2023.10289490}, pages = {209 -- 212}, year = {2023}, language = {en} } @inproceedings{ZdetskiEngertBrandmeier2024, author = {Zdetski, Dennis and Engert, Rainer and Brandmeier, Thomas}, title = {Wheelbase Determination using Micro-Doppler Signatures for Automotive Pre-Crash Algorithms}, booktitle = {European Microwave Week 2024 "Waves Connecting Europe": Conference Proceedings}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-2-87487-079-8}, doi = {https://doi.org/10.23919/EuRAD61604.2024.10734969}, pages = {264 -- 267}, year = {2024}, language = {en} } @article{EngertZaumseilZdetskietal.2026, author = {Engert, Rainer and Zaumseil, Patrick and Zdetski, Dennis and Brandmeier, Thomas}, title = {Fahrzeugsicherheit autonomer Fahrzeuge: Grenzen heutiger Systeme und potenzielle L{\"o}sungen}, volume = {74}, journal = {at - Automatisierungstechnik}, number = {1}, publisher = {De Gruyter}, address = {Berlin}, issn = {2196-677X}, doi = {https://doi.org/10.1515/auto-2025-0064}, pages = {12 -- 34}, year = {2026}, language = {en} } @article{SattlerDiedrichBrandmeier2015, author = {Sattler, Kathrin and Diedrich, Christian and Brandmeier, Thomas}, title = {Man{\"o}verbasiertes Testen in Kombination mit evolution{\"a}ren Algorithmen}, volume = {63}, journal = {at - Automatisierungstechnik}, number = {6}, publisher = {De Gruyter}, address = {Berlin}, issn = {2196-677X}, doi = {https://doi.org/10.1515/auto-2014-1156}, pages = {450 -- 464}, year = {2015}, language = {de} } @inproceedings{VriesmanThoereszSteinhauseretal.2020, author = {Vriesman, Daniel and Th{\"o}resz, Bernhard and Steinhauser, Dagmar and Zimmer, Alessandro and Britto Junior, Alceu and Brandmeier, Thomas}, title = {An Experimental Analysis of Rain Interference on Detection and Ranging Sensors Signals considering the Near Field}, 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/ITSC45102.2020.9294505}, year = {2020}, language = {en} } @inproceedings{LugnerVriesmanInderstetal.2021, author = {Lugner, Robert and Vriesman, Daniel and Inderst, Maximilian and Sequeira, Gerald Joy and Pasupuleti, Niyathipriya and Zimmer, Alessandro and Brandmeier, Thomas}, title = {Evaluation of sensor tolerances and inevitability for pre-crash safety systems in real case scenarios}, booktitle = {2020 IEEE 3rd Connected and Automated Vehicles Symposium (CAVS)}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-7281-9001-3}, doi = {https://doi.org/10.1109/CAVS51000.2020.9334578}, year = {2021}, language = {en} } @inproceedings{BoehmlaenderDoricAppeletal.2013, author = {B{\"o}hml{\"a}nder, Dennis and Doric, Igor and Appel, Eva and Brandmeier, Thomas}, title = {Video Camera and Capacitive Sensor Data Fusion for Pedestrian Protection Systems}, booktitle = {Proceedings of the Eleventh International Workshop on Intelligent Solutions in Embedded Systems}, editor = {Kucera, Markus and Waas, Thomas}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-3-00-042899-9}, url = {https://ieeexplore.ieee.org/document/6664948}, year = {2013}, language = {en} } @inproceedings{SchneiderInderstBrandmeier2020, author = {Schneider, Kilian and Inderst, Maximilian and Brandmeier, Thomas}, title = {Hybrid Model Based Pre-Crash Severity Estimation for Automated Driving}, booktitle = {2020 IEEE 3rd Connected and Automated Vehicles Symposium (CAVS)}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-7281-9001-3}, doi = {https://doi.org/10.1109/CAVS51000.2020.9334670}, 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} }