UMBRELLA: Uncertainty-Aware Model-Based Offline Reinforcement Learning Leveraging Planning C Diehl, T Sievernich, M Krüger, F Hoffmann, T Bertram Best Paper Award, Neural Information Processing Systems 34 - Machine …, 2021 | 22 | 2021 |
Radar-based dynamic occupancy grid mapping and object detection C Diehl, E Feicho, A Schwambach, T Dammeier, E Mares, T Bertram 2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020 | 16 | 2020 |
Uncertainty-aware model-based offline reinforcement learning for automated driving C Diehl, TS Sievernich, M Krüger, F Hoffmann, T Bertram IEEE Robotics and Automation Letters 8 (2), 1167-1174, 2023 | 9 | 2023 |
Differentiable Constrained Imitation Learning for Robot Motion Planning and Control C Diehl, J Adamek, M Krüger, F Hoffmann, T Bertram IEEE/ RSJ International Conference on Intelligent Robots and Systems 2023 …, 2023 | 3 | 2023 |
Energy-based potential games for joint motion forecasting and control C Diehl, T Klosek, M Krueger, N Murzyn, T Osterburg, T Bertram 7th Annual Conference on Robot Learning, 2023 | 3 | 2023 |
Time-Optimal Nonlinear Model Predictive Control for Radar-based Automated Parking C Diehl, A Makarow, C Rösmann, T Bertram IFAC Symposium on Intelligent Autonomous Vehicles, IAV 2022, 2022 | 3 | 2022 |
On a Connection between Differential Games, Optimal Control, and Energy-based Models for Multi-Agent Interactions C Diehl, T Klosek, M Krüger, N Murzyn, T Bertram International Conference on Machine Learning 2023, New Frontiers for …, 2023 | 2 | 2023 |
Conditional Behavior Prediction for Automated Driving on Highways C Diehl, T Osterburg, N Murzyn, G Schneider, F Hoffmann, T Bertram Proc. 32. Workshop Computational Intelligence 1, 125, 2022 | 2 | 2022 |
Navigation with Uncertain Map Data for Automated Vehicles C Diehl, N Stannartz, T Bertram In Book: Automatisiertes Fahren (Automated Driving) 2021, 143-157, 2021 | 2 | 2021 |
Recognition Beyond Perception: Environmental Model Completion by Reasoning for Occluded Vehicles M Krueger, P Palmer, C Diehl, T Osterburg, T Bertram IEEE Robotics and Automation Letters, 2022 | 1 | 2022 |
VectorRL: Interpretable Graph-based Reinforcement Learning for Automated Driving C Diehl, T Waldeyer, F Hoffmann, T Bertram Proc. 31. Workshop Computational Intelligence, 2021 | 1 | 2021 |
Social Behavior Prediction for Automated Vehicles Using Contrastive Learning T Osterburg, C Diehl, T Bertram 9. IFToMM D-A-CH Conference, 2023 | | 2023 |
Soziale Verhaltensprädiktion für automatisierte Fahrzeuge durch Contrastive Learning T Osterburg, C Diehl, T Bertram Universität Duisburg-Essen, 2023 | | 2023 |
Mid-term status report on KISSaF: AI-based situation interpretation for automated driving AS Novo, M Stolpe, C Diehl, T Osterburg, T Bertram, V Parsi, N Murzyn, ... AmE 2022-Automotive meets Electronics; 13. GMM-Symposium, 1-5, 2022 | | 2022 |