Moritz Sackmann

According to our database, Moritz Sackmann authored at least 13 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Graph-Based Adversarial Imitation Learning for Predicting Human Driving Behavior.

Fabian Konstantinidis, Moritz Sackmann, Ulrich Hofmann, Christoph Stiller

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

2023

Predicting Driver Behavior on the Highway with Multi-Agent Adversarial Inverse Reinforcement Learning.

Henrik Radtke, Henrik Bey, Moritz Sackmann, Torsten Schön

Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

Modeling Interaction-Aware Driving Behavior using Graph-Based Representations and Multi-Agent Reinforcement Learning.

Fabian Konstantinidis, Moritz Sackmann, Ulrich Hofmann, Christoph Stiller

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

2022

Modeling Driver Behavior using Adversarial Inverse Reinforcement Learning.

Moritz Sackmann, Henrik Bey, Ulrich Hofmann, Jörn Thielecke

Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

2021

POMDP Planning at Roundabouts.

Henrik Bey, Moritz Sackmann, Alexander Lange, Jörn Thielecke

Proceedings of the IEEE Intelligent Vehicles Symposium Workshops, 2021

Multi-Step Training for Predicting Roundabout Traffic Situations.

Moritz Sackmann, Tobias Leemann, Henrik Bey, Ulrich Hofmann, Jörn Thielecke

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

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

Fabian Konstantinidis, Ulrich Hofmann, Moritz Sackmann, Jörn Thielecke, Oliver De Candido, Wolfgang Utschick

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Handling Prediction Model Errors in Planning for Automated Driving Using POMDPs.

Henrik Bey, Moritz Sackmann, Alexander Lange, Jörn Thielecke

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Distribution Preserving Multiple Hypotheses Prediction for Uncertainty Modeling.

Tobias Leemann, Moritz Sackmann, Jörn Thielecke, Ulrich Hofmann

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

2020

Classification of Driver Intentions at Roundabouts.

Moritz Sackmann, Henrik Bey, Ulrich Hofmann, Jörn Thielecke

Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems, 2020

Tutorial on Sampling-based POMDP-planning for Automated Driving.

Henrik Bey, Maximilian Tratz, Moritz Sackmann, Alexander Lange, Jörn Thielecke

Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems, 2020

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

Moritz Sackmann, Henrik Bey, Ulrich Hofmann, Jörn Thielecke

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Frenet Coordinate Based Driving Maneuver Prediction at Roundabouts Using LSTM Networks.

Carina Vogl, Moritz Sackmann, Ludwig Kürzinger, Ulrich Hofmann

Proceedings of the CSCS '20: Computer Science in Cars Symposium, 2020