Henrik Bey

Professur für Informationstechnik (Schwerpunkt Ortsbestimmung und Navigation)

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 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 POMDP Planning at Roundabouts (2021) Bey H, Sackmann M, Lange A, Thielecke J 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 Determining Potential Obstacles in Unobservable Areas Based on Current and Past Perception (2020) Baumgärtner J, Bey H, Faßbender D, Thielecke J Conference contribution, Conference Contribution Classification of driver intentions at roundabouts (2020) Sackmann M, Bey H, Hofmann U, Thielecke J Conference contribution Tutorial on sampling-based POMDP-planning for automated driving (2020) Bey H, Tratz M, Sackmann M, Lange A, Thielecke J Conference contribution Optimization-based tactical behavior planning for autonomous freeway driving in favor of the traffic flow (2019) Bey H, Dierkes F, Bayerl S, Lange A, Fabbender D, Thielecke J Conference contribution