Lehrstuhl für Informationstechnik mit dem Schwerpunkt Kommunikationselektronik (Stiftungslehrstuhl)

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 SIMO Frame Acquisition of Fragmented Telegrams in Interference Channels (2022) Neumüller C, Robert J, Heuberger A Conference contribution Error Evaluation of Semantic VSLAM Algorithms for Smart Farming (2022) Kalisz A, Sun M, Gedschold J, Wegner TE, Del Galdo G, Thielecke J Conference contribution Accuracy-Aware Compression of Channel Impulse Responses using Deep Learning (2021) Altstidl TR, Kram S, Herrmann O, Stahlke M, Feigl T, Mutschler C Conference contribution, Conference Contribution Robust ToA-Estimation using Convolutional Neural Networks on Randomized Channel Models (2021) Feigl T, Eberlein E, Kram S 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