Audi AG

Exploring the impact of scenario and distance information on the reliability assessment of multi-sensor systems (2022) Qiu M, Antesberger T, Bock F, German R Conference contribution, Conference Contribution Performance Improvements in Cooperative Downloading: Encoding and Strategies for Heterogeneous Vehicular Networks (2022) Niebisch M, Pfaller D, German R, Djanatliev A Conference contribution, Conference Contribution 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 Self-Navigating Automotive Production: Using 5G for Automated Driving in Car Assembly (2022) Ambrosy N, Rainer J, Niebisch M, German R, Underberg L Conference contribution, Conference Contribution Cooperative Downloading in Heterogeneous Vehicular Networks: A Cost Analysis (2022) Niebisch M, Pfaller D, Djanatliev A Conference contribution, Conference Contribution 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