| Classification of Driver Intentions at Roundabouts. M Sackmann, H Bey, U Hofmann, J Thielecke VEHITS, 301-311, 2020 | 9 | 2020 |
| Modeling Driver Behavior using Adversarial Inverse Reinforcement Learning M Sackmann, H Bey, U Hofmann, J Thielecke 2022 IEEE Intelligent Vehicles Symposium (IV), 1683-1690, 2022 | 8 | 2022 |
| Parameter Sharing Reinforcement Learning for Modeling Multi-Agent Driving Behavior in Roundabout Scenarios F Konstantinidis, M Sackmann, O De Candido, U Hofmann, J Thielecke, ... 2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021 | 8 | 2021 |
| Frenet coordinate based driving maneuver prediction at roundabouts using LSTM networks C Vogl, M Sackmann, L Kürzinger, U Hofmann Proceedings of the 4th ACM Computer Science in Cars Symposium, 1-9, 2020 | 7 | 2020 |
| Multi-Step Training for Predicting Roundabout Traffic Situations M Sackmann, T Leemann, H Bey, U Hofmann, J Thielecke 2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021 | 6 | 2021 |
| Prediction error reduction of neural networks for car-following using multi-step training M Sackmann, H Bey, U Hofmann, J Thielecke 2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020 | 5 | 2020 |
| Handling Prediction Model Errors in Planning for Automated Driving Using POMDPs H Bey, M Sackmann, A Lange, J Thielecke 2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021 | 4 | 2021 |
| POMDP Planning at Roundabouts H Bey, M Sackmann, A Lange, J Thielecke 2021 IEEE Intelligent Vehicles Symposium Workshops (IV Workshops), 264-271, 2021 | 4 | 2021 |
| Tutorial on sampling-based pomdp-planning for automated driving. H Bey, M Tratz, M Sackmann, A Lange, J Thielecke VEHITS, 312-321, 2020 | 4 | 2020 |
| Learning a Diverse and Cooperative Policy for Predicting Roundabout Traffic Situations M Sackmann, H Bey, U Hofmann, J Thielecke Uni-DAS e.V. Workshop Fahrerassistenz und automatisiertes Fahren, 2022 | 2 | 2022 |
| Modeling Interaction-Aware Driving Behavior using Graph-Based Representations and Multi-Agent Reinforcement Learning F Konstantinidis, M Sackmann, U Hofmann, C Stiller 2023 IEEE 26th International Conference on Intelligent Transportation …, 2023 | | 2023 |
| Predicting Driver Behavior on the Highway with Multi-Agent Adversarial Inverse Reinforcement Learning H Radtke, H Bey, M Sackmann, T Schön 2023 IEEE Intelligent Vehicles Symposium (IV), 1-8, 2023 | | 2023 |
| Distribution Preserving Multiple Hypotheses Prediction for Uncertainty Modeling T Leemann, M Sackmann, J Thielecke, U Hofmann European Symposium on Artificial Neural Networks, 2021 | | 2021 |
Fabian KonstantinidisPhD Candidate, Cariad SE, Karlsruhe Institute of TechnologyVerified email at partner.kit.edu
