Systematic Analysis of Direct Sparse Odometry. - Florian Particke; Adam Kalisz; Christian Hofmann; Markus Hiller; Henrik Bey; Jörn Thielecke (DICTA, 2018)

Entropy-Based Intention Change Detection with a Multi-Hypotheses Filter. - Florian Particke; Christian Hofmann; Markus Hiller; Henrik Bey; Christian Feist; Jörn Thielecke (FUSION, 2018)

Optimization-based Tactical Behavior Planning for Autonomous Freeway Driving in Favor of the Traffic Flow. - Henrik Bey; Frank Dierkes; Sebastian Bayerl; Alexander Lange; Dennis Faßbender; Jörn Thielecke (IV, 2019)

Prediction Error Reduction of Neural Networks for Car-Following Using Multi-Step Training. - Moritz Sackmann; Henrik Bey; Ulrich Hofmann 002; Jörn Thielecke (ITSC, 2020)

Tutorial on Sampling-based POMDP-planning for Automated Driving. - Henrik Bey; Maximilian Tratz; Moritz Sackmann; Alexander Lange; Jörn Thielecke (VEHITS, 2020)

Classification of Driver Intentions at Roundabouts. - Moritz Sackmann; Henrik Bey; Ulrich Hofmann 002; Jörn Thielecke (VEHITS, 2020)

Handling Prediction Model Errors in Planning for Automated Driving Using POMDPs. - Henrik Bey; Moritz Sackmann; Alexander Lange; Jörn Thielecke (ITSC, 2021)

Multi-Step Training for Predicting Roundabout Traffic Situations. - Moritz Sackmann; Tobias Leemann; Henrik Bey; Ulrich Hofmann 002; Jörn Thielecke (ITSC, 2021)

POMDP Planning at Roundabouts. - Henrik Bey; Moritz Sackmann; Alexander Lange; Jörn Thielecke (IV Workshops, 2021)

Modeling Driver Behavior using Adversarial Inverse Reinforcement Learning. - Moritz Sackmann; Henrik Bey; Ulrich Hofmann 002; Jörn Thielecke (IV, 2022)

Predicting Driver Behavior on the Highway with Multi-Agent Adversarial Inverse Reinforcement Learning. - Henrik Radtke; Henrik Bey; Moritz Sackmann; Torsten Schön (IV, 2023)