Frenet Coordinate Based Driving Maneuver Prediction at Roundabouts Using LSTM Networks. - Carina Vogl; Moritz Sackmann; Ludwig Kürzinger; Ulrich Hofmann 002 (CSCS, 2020)

Prediction Error Reduction of Neural Networks for Car-Following Using Multi-Step Training. - Moritz Sackmann; Henrik Bey; Ulrich Hofmann 002; Jörn Thielecke (ITSC, 2020)

Tutorial on Sampling-based POMDP-planning for Automated Driving. - Henrik Bey; Maximilian Tratz; Moritz Sackmann; Alexander Lange; Jörn Thielecke (VEHITS, 2020)

Classification of Driver Intentions at Roundabouts. - Moritz Sackmann; Henrik Bey; Ulrich Hofmann 002; Jörn Thielecke (VEHITS, 2020)

Distribution Preserving Multiple Hypotheses Prediction for Uncertainty Modeling. - Tobias Leemann; Moritz Sackmann; Jörn Thielecke; Ulrich Hofmann 002 (ESANN, 2021)

Handling Prediction Model Errors in Planning for Automated Driving Using POMDPs. - Henrik Bey; Moritz Sackmann; Alexander Lange; Jörn Thielecke (ITSC, 2021)

Parameter Sharing Reinforcement Learning for Modeling Multi-Agent Driving Behavior in Roundabout Scenarios. - Fabian Konstantinidis; Ulrich Hofmann 002; Moritz Sackmann; Jörn Thielecke; Oliver De Candido; Wolfgang Utschick (ITSC, 2021)

Multi-Step Training for Predicting Roundabout Traffic Situations. - Moritz Sackmann; Tobias Leemann; Henrik Bey; Ulrich Hofmann 002; Jörn Thielecke (ITSC, 2021)

POMDP Planning at Roundabouts. - Henrik Bey; Moritz Sackmann; Alexander Lange; Jörn Thielecke (IV Workshops, 2021)

Modeling Driver Behavior using Adversarial Inverse Reinforcement Learning. - Moritz Sackmann; Henrik Bey; Ulrich Hofmann 002; Jörn Thielecke (IV, 2022)

Modeling Interaction-Aware Driving Behavior using Graph-Based Representations and Multi-Agent Reinforcement Learning. - Fabian Konstantinidis; Moritz Sackmann; Ulrich Hofmann 002; Christoph Stiller (ITSC, 2023)

Predicting Driver Behavior on the Highway with Multi-Agent Adversarial Inverse Reinforcement Learning. - Henrik Radtke; Henrik Bey; Moritz Sackmann; Torsten Schön (IV, 2023)

Graph-Based Adversarial Imitation Learning for Predicting Human Driving Behavior. - Fabian Konstantinidis; Moritz Sackmann; Ulrich Hofmann 002; Christoph Stiller (IV, 2024)

Conditional Prediction by Simulation for Automated Driving. - Fabian Konstantinidis; Moritz Sackmann; Ulrich Hofmann 002; Christoph Stiller (CoRR, 2025)

From Marginal to Joint Predictions: Evaluating Scene-Consistent Trajectory Prediction Approaches for Automated Driving. - Fabian Konstantinidis; Ariel Dallari Guerreiro; Raphael Trumpp; Moritz Sackmann; Ulrich Hofmann 002; Marco Caccamo; Christoph Stiller (CoRR, 2025)