Moritz Sackmann

18 papers B 1C 5Journal 4Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Conditional Prediction by Simulation for Automated Driving. CoRR Fabian Konstantinidis, Moritz Sackmann, Ulrich Hofmann, Christoph Stiller
2025	—	`conf`	From Marginal to Joint Predictions: Evaluating Scene-Consistent Trajectory Prediction Approaches for Automated Driving. ITSC Fabian Konstantinidis, Ariel Dallari Guerreiro, Raphael Trumpp, Moritz Sackmann, Ulrich Hofmann, Marco Caccamo, Christoph Stiller
2025	J	`jnl`	From Marginal to Joint Predictions: Evaluating Scene-Consistent Trajectory Prediction Approaches for Automated Driving. CoRR Fabian Konstantinidis, Ariel Dallari Guerreiro, Raphael Trumpp, Moritz Sackmann, Ulrich Hofmann, Marco Caccamo, Christoph Stiller
2025	J	`jnl`	Toward Efficient and Robust Behavior Models for Multi-Agent Driving Simulation. CoRR Fabian Konstantinidis, Moritz Sackmann, Ulrich Hofmann, Christoph Stiller
2024	C	`conf`	Graph-Based Adversarial Imitation Learning for Predicting Human Driving Behavior. IV Fabian Konstantinidis, Moritz Sackmann, Ulrich Hofmann, Christoph Stiller
2023	—	`conf`	Modeling Interaction-Aware Driving Behavior using Graph-Based Representations and Multi-Agent Reinforcement Learning. ITSC Fabian Konstantinidis, Moritz Sackmann, Ulrich Hofmann, Christoph Stiller
2023	C	`conf`	Predicting Driver Behavior on the Highway with Multi-Agent Adversarial Inverse Reinforcement Learning. IV Henrik Radtke, Henrik Bey, Moritz Sackmann, Torsten Schön
2022	C	`conf`	Modeling Driver Behavior using Adversarial Inverse Reinforcement Learning. IV Moritz Sackmann, Henrik Bey, Ulrich Hofmann, Jörn Thielecke
2021	B	`conf`	Distribution Preserving Multiple Hypotheses Prediction for Uncertainty Modeling. ESANN Tobias Leemann, Moritz Sackmann, Jörn Thielecke, Ulrich Hofmann
2021	J	`jnl`	Distribution Preserving Multiple Hypotheses Prediction for Uncertainty Modeling. CoRR Tobias Leemann, Moritz Sackmann, Jörn Thielecke, Ulrich Hofmann
2021	—	`conf`	Handling Prediction Model Errors in Planning for Automated Driving Using POMDPs. ITSC Henrik Bey, Moritz Sackmann, Alexander Lange, Jörn Thielecke
2021	—	`conf`	Multi-Step Training for Predicting Roundabout Traffic Situations. ITSC Moritz Sackmann, Tobias Leemann, Henrik Bey, Ulrich Hofmann, Jörn Thielecke
2021	—	`conf`	POMDP Planning at Roundabouts. IV Workshops Henrik Bey, Moritz Sackmann, Alexander Lange, Jörn Thielecke
2021	—	`conf`	Parameter Sharing Reinforcement Learning for Modeling Multi-Agent Driving Behavior in Roundabout Scenarios. ITSC Fabian Konstantinidis, Ulrich Hofmann, Moritz Sackmann, Jörn Thielecke, Oliver De Candido, Wolfgang Utschick
2020	C	`conf`	Classification of Driver Intentions at Roundabouts. VEHITS Moritz Sackmann, Henrik Bey, Ulrich Hofmann, Jörn Thielecke
2020	—	`conf`	Frenet Coordinate Based Driving Maneuver Prediction at Roundabouts Using LSTM Networks. CSCS Carina Vogl, Moritz Sackmann, Ludwig Kürzinger, Ulrich Hofmann
2020	—	`conf`	Prediction Error Reduction of Neural Networks for Car-Following Using Multi-Step Training. ITSC Moritz Sackmann, Henrik Bey, Ulrich Hofmann, Jörn Thielecke
2020	C	`conf`	Tutorial on Sampling-based POMDP-planning for Automated Driving. VEHITS Henrik Bey, Maximilian Tratz, Moritz Sackmann, Alexander Lange, Jörn Thielecke