| Analysis of the effect of various input representations for LSTM-based trajectory prediction A Breuer, S Elflein, T Joseph, JA Bolte, S Homoceanu, T Fingscheidt 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 2728-2735, 2019 | 23 | 2019 |
| Knowledge augmented machine learning with applications in autonomous driving: A survey J Wörmann, D Bogdoll, E Bührle, H Chen, EF Chuo, K Cvejoski, L van Elst, ... arXiv preprint arXiv:2205.04712, 2022 | 10 | 2022 |
| Quantification of actual road user behavior on the basis of given traffic rules D Bogdoll, M Nekolla, T Joseph, JM Zöllner 2022 IEEE Intelligent Vehicles Symposium (IV), 1093-1098, 2022 | 4 | 2022 |
| Exploring the Potential of World Models for Anomaly Detection in Autonomous Driving D Bogdoll, L Bosch, T Joseph, H Gremmelmaier, Y Yang, JM Zöllner 2023 IEEE Symposium Series on Computational Intelligence (SSCI), 488-495, 2023 | 2 | 2023 |
| Informed Reinforcement Learning for Situation-Aware Traffic Rule Exceptions D Bogdoll, J Qin, M Nekolla, A Abouelazm, T Joseph, JM Zöllner arXiv preprint arXiv:2402.04168, 2024 | | 2024 |
| Cycle-Consistent World Models for Domain Independent Latent Imagination S Bender, T Joseph, JM Zöllner European Conference on Computer Vision, 561-574, 2022 | | 2022 |
