| A deep learning-based radar and camera sensor fusion architecture for object detection F Nobis, M Geisslinger, M Weber, J Betz, M Lienkamp 2019 Sensor Data Fusion: Trends, Solutions, Applications (SDF), 1-7, 2019 | 293 | 2019 |
| Autonomous driving ethics: From trolley problem to ethics of risk M Geisslinger, F Poszler, J Betz, C Lütge, M Lienkamp Philosophy & Technology 34 (4), 1033-1055, 2021 | 79 | 2021 |
| Indy autonomous challenge-autonomous race cars at the handling limits A Wischnewski, M Geisslinger, J Betz, T Betz, F Fent, A Heilmeier, ... 12th International Munich Chassis Symposium 2021: chassis. tech plus, 163-182, 2022 | 45 | 2022 |
| Scenario understanding and motion prediction for autonomous vehicles—review and comparison P Karle, M Geisslinger, J Betz, M Lienkamp IEEE Transactions on Intelligent Transportation Systems 23 (10), 16962-16982, 2022 | 44 | 2022 |
| Tum autonomous motorsport: An autonomous racing software for the indy autonomous challenge J Betz, T Betz, F Fent, M Geisslinger, A Heilmeier, L Hermansdorfer, ... Journal of Field Robotics 40 (4), 783-809, 2023 | 43 | 2023 |
| An ethical trajectory planning algorithm for autonomous vehicles M Geisslinger, F Poszler, M Lienkamp Nature Machine Intelligence 5 (2), 137-144, 2023 | 39 | 2023 |
| Watch-and-learn-net: Self-supervised online learning for probabilistic vehicle trajectory prediction M Geisslinger, P Karle, J Betz, M Lienkamp 2021 IEEE international conference on systems, man, and cybernetics (SMC …, 2021 | 17 | 2021 |
| Maximum acceptable risk as criterion for decision-making in autonomous vehicle trajectory planning M Geisslinger, R Trauth, G Kaljavesi, M Lienkamp IEEE Open Journal of Intelligent Transportation Systems, 2023 | 10 | 2023 |
| A quasi-steady-state lap time simulation for electrified race cars A Heilmeier, M Geisslinger, J Betz 2019 Fourteenth International Conference on Ecological Vehicles and …, 2019 | 10 | 2019 |
| EDGAR: An Autonomous Driving Research Platform--From Feature Development to Real-World Application P Karle, T Betz, M Bosk, F Fent, N Gehrke, M Geisslinger, L Gressenbuch, ... arXiv preprint arXiv:2309.15492, 2023 | 7 | 2023 |
| Autonomous Driving: Object Detection using Neural Networks for Radar and Camera Sensor Fusion M Geisslinger Technical University of Munich, 2019 | 6 | 2019 |
| Learning and adapting behavior of autonomous vehicles through inverse reinforcement learning R Trauth, M Kaufeld, M Geisslinger, J Betz 2023 IEEE Intelligent Vehicles Symposium (IV), 1-8, 2023 | 5 | 2023 |
| Applying ethical theories to the decision-making of self-driving vehicles: A systematic review and integration of the literature F Poszler, M Geisslinger, J Betz, C Lütge Technology in Society, 102350, 2023 | 4 | 2023 |
| Mixnet: Physics constrained deep neural motion prediction for autonomous racing P Karle, F Török, M Geisslinger, M Lienkamp IEEE Access, 2023 | 3 | 2023 |
| AI and Autonomous Driving: Key ethical considerations F Poszler, M Geisslinger | 2 | |
| MixNet: Structured Deep Neural Motion Prediction for Autonomous Racing P Karle, F Török, M Geisslinger, M Lienkamp arXiv preprint arXiv:2208.01862, 2022 | 1 | 2022 |
| A five-step ethical decision-making model for self-driving vehicles: Which (ethical) theories could guide the process and what values need further investigation? F Poszler, M Geisslinger, C Lütge International Conference on Computer Ethics 1 (1), 2023 | | 2023 |
| S2R-DAD: Sim-to-Real Distribution-Aligned Dataset S Huch, L Scalerandi, E Rivera, M Lienkamp, J Betz, T Betz, F Fent, ... Journal of Field Robotics, 0 | | |
| Network Rebalance and Operational Efficiency of Sharing Transportation System: Multi-Objective Optimization and Model Predictive Control Approaches … WMD Chia, SL Keoh, C Goh, C Johnson, X Dong, MA Garratt, SG Anavatti, ... | | |
| Harm Prediction for Risk-Aware Motion Planning of Automated Vehicles T Geißenberger | | |
