1–9 of 9 hits
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    Modeling Driver Behavior using Adversarial Inverse Reinforcement Learning

    Sackmann, Moritz / Bey, Henrik / Hofmann, Ulrich et al. | IEEE | 2022

    POMDP Planning at Roundabouts

    Bey, Henrik / Sackmann, Moritz / Lange, Alexander et al. | IEEE | 2021

    Handling Prediction Model Errors in Planning for Automated Driving Using POMDPs

    Bey, Henrik / Sackmann, Moritz / Lange, Alexander et al. | IEEE | 2021

    Classification of Driver Intentions at Roundabouts

    Sackmann, Moritz / Bey, Henrik / Hofmann, Ulrich et al. | TIBKAT | 2020

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

    Sackmann, Moritz / Bey, Henrik / Hofmann, Ulrich et al. | IEEE | 2020

    Multi-Step Training for Predicting Roundabout Traffic Situations

    Sackmann, Moritz / Leemann, Tobias / Bey, Henrik et al. | IEEE | 2021

    Tutorial on Sampling-based POMDP-planning for Automated Driving

    Bey, Henrik / Tratz, Maximilian / Sackmann, Moritz et al. | TIBKAT | 2020

    Optimization-based Tactical Behavior Planning for Autonomous Freeway Driving in Favor of the Traffic Flow

    Bey, Henrik / Dierkes, Frank / Bayerl, Sebastian et al. | IEEE | 2019

      OPTIMIZATION-BASED TACTICAL BEHAVIOR PLANNING FOR AUTONOMOUS FREEWAY DRIVING IN FAVOR OF THE TRAFFIC FLOW

      Bey, Henrik / Dierkes, Frank / Bayerl, Sebastian et al. | British Library Conference Proceedings | 2019

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

    Konstantinidis, Fabian / Hofmann, Ulrich / Sackmann, Moritz et al. | IEEE | 2021