Moritz Sackmann

Classification of Driver Intentions at Roundabouts

Jörn Thielecke, Ulrich Hofmann, Moritz Sackmann, 2020, VEHITS.

Frenet Coordinate Based Driving Maneuver Prediction at Roundabouts Using LSTM Networks

Ulrich Hofmann, Moritz Sackmann, Ludwig Kurzinger, 2020, CSCS.

Prediction Error Reduction of Neural Networks for Car-Following Using Multi-Step Training

Jörn Thielecke, Ulrich Hofmann, Moritz Sackmann, 2020, 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC).

Tutorial on Sampling-based POMDP-planning for Automated Driving

Jörn Thielecke, Moritz Sackmann, Henrik Bey, 2020, VEHITS.

Parameter Sharing Reinforcement Learning for Modeling Multi-Agent Driving Behavior in Roundabout Scenarios

Wolfgang Utschick, Jörn Thielecke, Moritz Sackmann, 2021, 2021 IEEE International Intelligent Transportation Systems Conference (ITSC).

Distribution Preserving Multiple Hypotheses Prediction for Uncertainty Modeling pdf

Moritz Sackmann, Jorn Thielecke, Ulrich Hofmann, 2021, ESANN 2021 proceedings.

Handling Prediction Model Errors in Planning for Automated Driving Using POMDPs

Jörn Thielecke, Moritz Sackmann, Henrik Bey, 2021, 2021 IEEE International Intelligent Transportation Systems Conference (ITSC).

Multi-Step Training for Predicting Roundabout Traffic Situations

Jörn Thielecke, Moritz Sackmann, Henrik Bey, 2021, 2021 IEEE International Intelligent Transportation Systems Conference (ITSC).