Moritz Sackmann

Professur für Lokalisierungssysteme Lehrstuhl für Informationstechnik mit dem Schwerpunkt Kommunikationselektronik (Stiftungslehrstuhl) (LIKE)

Modeling Driver Behavior using Adversarial Inverse Reinforcement Learning (2022) Sackmann M, Bey H, Hofmann U, Thielecke J Conference contribution Learning a Diverse and Cooperative Policy for Predicting Roundabout Traffic Situations (2022) Sackmann M, Bey H, Hofmann U, Thielecke J Conference contribution, Original article Distribution Preserving Multiple Hypotheses Prediction for Uncertainty Modeling (2021) Leemann T, Sackmann M, Thielecke J, Hofmann U Conference contribution, Conference Contribution Handling Prediction Model Errors in Planning for Automated Driving Using POMDPs (2021) Bey H, Sackmann M, Lange A, Thielecke J Conference contribution, Conference Contribution Multi-Step Training for Predicting Roundabout Traffic Situations (2021) Sackmann M, Leemann T, Bey H, Hofmann U, Thielecke J Conference contribution, Conference Contribution Parameter Sharing Reinforcement Learning for Modeling Multi-Agent Driving Behavior in Roundabout Scenarios (2021) Konstantinidis F, Sackmann M, De Candido O, Hofmann U, Thielecke J, Utschick W Conference contribution, Conference Contribution POMDP Planning at Roundabouts (2021) Bey H, Sackmann M, Lange A, Thielecke J Conference contribution Frenet Coordinate Based Driving Maneuver Prediction at Roundabouts Using LSTM Networks (2020) Vogl C, Sackmann M, Kürzinger L, Hofmann U Conference contribution Prediction Error Reduction of Neural Networks for Car-Following Using Multi-Step Training (2020) Sackmann M, Bey H, Hofmann U, Thielecke J Conference contribution Classification of driver intentions at roundabouts (2020) Sackmann M, Bey H, Hofmann U, Thielecke J Conference contribution