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2020 – today
- 2024
[c13]Fabian Konstantinidis, Moritz Sackmann, Ulrich Hofmann, Christoph Stiller:
Graph-Based Adversarial Imitation Learning for Predicting Human Driving Behavior. IV 2024: 857-864- 2023
- [c12]Fabian Konstantinidis, Moritz Sackmann, Ulrich Hofmann, Christoph Stiller:
Modeling Interaction-Aware Driving Behavior using Graph-Based Representations and Multi-Agent Reinforcement Learning. ITSC 2023: 1643-1650 - [c11]Henrik Radtke, Henrik Bey, Moritz Sackmann, Torsten Schön:
Predicting Driver Behavior on the Highway with Multi-Agent Adversarial Inverse Reinforcement Learning. IV 2023: 1-8 - 2022
- [c10]Moritz Sackmann, Henrik Bey, Ulrich Hofmann, Jörn Thielecke:
Modeling Driver Behavior using Adversarial Inverse Reinforcement Learning. IV 2022: 1683-1690 - 2021
- [c9]Tobias Leemann, Moritz Sackmann, Jörn Thielecke, Ulrich Hofmann:
Distribution Preserving Multiple Hypotheses Prediction for Uncertainty Modeling. ESANN 2021 - [c8]Henrik Bey, Moritz Sackmann, Alexander Lange, Jörn Thielecke:
Handling Prediction Model Errors in Planning for Automated Driving Using POMDPs. ITSC 2021: 439-446 - [c7]Fabian Konstantinidis, Ulrich Hofmann, Moritz Sackmann, Jörn Thielecke, Oliver De Candido, Wolfgang Utschick
:
Parameter Sharing Reinforcement Learning for Modeling Multi-Agent Driving Behavior in Roundabout Scenarios. ITSC 2021: 1974-1981 - [c6]Moritz Sackmann, Tobias Leemann, Henrik Bey, Ulrich Hofmann, Jörn Thielecke:
Multi-Step Training for Predicting Roundabout Traffic Situations. ITSC 2021: 1982-1989 - [c5]Henrik Bey, Moritz Sackmann, Alexander Lange, Jörn Thielecke:
POMDP Planning at Roundabouts. IV Workshops 2021: 264-271 - [i1]Tobias Leemann, Moritz Sackmann, Jörn Thielecke, Ulrich Hofmann:
Distribution Preserving Multiple Hypotheses Prediction for Uncertainty Modeling. CoRR abs/2110.02858 (2021) - 2020
- [c4]Carina Vogl, Moritz Sackmann, Ludwig Kürzinger, Ulrich Hofmann:
Frenet Coordinate Based Driving Maneuver Prediction at Roundabouts Using LSTM Networks. CSCS 2020: 2:1-2:9 - [c3]Moritz Sackmann, Henrik Bey, Ulrich Hofmann, Jörn Thielecke:
Prediction Error Reduction of Neural Networks for Car-Following Using Multi-Step Training. ITSC 2020: 1-7 - [c2]Moritz Sackmann, Henrik Bey, Ulrich Hofmann, Jörn Thielecke:
Classification of Driver Intentions at Roundabouts. VEHITS 2020: 301-311 - [c1]Henrik Bey, Maximilian Tratz, Moritz Sackmann, Alexander Lange, Jörn Thielecke:
Tutorial on Sampling-based POMDP-planning for Automated Driving. VEHITS 2020: 312-321
Coauthor Index
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