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Christopher Diehl
Christopher Diehl
Doctoral Researcher, Technical University Dortmund
Verified email at tu-dortmund.de - Homepage
Title
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Cited by
Year
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
222021
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
162020
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
92023
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
32023
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
32023
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
32022
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
22023
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
22022
Navigation with Uncertain Map Data for Automated Vehicles
C Diehl, N Stannartz, T Bertram
In Book: Automatisiertes Fahren (Automated Driving) 2021, 143-157, 2021
22021
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
12022
VectorRL: Interpretable Graph-based Reinforcement Learning for Automated Driving
C Diehl, T Waldeyer, F Hoffmann, T Bertram
Proc. 31. Workshop Computational Intelligence, 2021
12021
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
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