A Fleet Learning Architecture for Enhanced Behavior Predictions during Challenging External Conditions. - Florian Wirthmüller; Marvin Klimke; Julian Schlechtriemen; Jochen Hipp; Manfred Reichert (SSCI, 2020)

Drone-based Generation of Sensor Reference and Training Data for Highly Automated Vehicles. - Robert Krajewski; Lennart Vater; Marvin Klimke; Tobias Moers; Julian Bock; Lutz Eckstein (ITSC, 2021)

An Extended Maneuver Coordination Protocol with Support for Urban Scenarios and Mixed Traffic. - Max Bastian Mertens; Johannes Müller 003; Robin Dehler; Marvin Klimke; Matthias Maier; Soheil Gherekhloo; Benjamin Völz; Rüdiger-Walter Henn; Michael Buchholz (VNC, 2021)

Predicting the Time Until a Vehicle Changes the Lane Using LSTM-Based Recurrent Neural Networks. - Florian Wirthmüller; Marvin Klimke; Julian Schlechtriemen; Jochen Hipp; Manfred Reichert (IEEE Robotics Autom. Lett., 2021)

An Enhanced Graph Representation for Machine Learning Based Automatic Intersection Management. - Marvin Klimke; Jasper Gerigk; Benjamin Völz; Michael Buchholz (ITSC, 2022)

Cooperative Behavior Planning for Automated Driving Using Graph Neural Networks. - Marvin Klimke; Benjamin Völz; Michael Buchholz (IV, 2022)

Cooperative Behavioral Planning for Automated Driving using Graph Neural Networks. - Marvin Klimke; Benjamin Völz; Michael Buchholz (CoRR, 2022)

Automatic Intersection Management in Mixed Traffic Using Reinforcement Learning and Graph Neural Networks. - Marvin Klimke; Benjamin Völz; Michael Buchholz (IV, 2023)

Integration of Reinforcement Learning Based Behavior Planning With Sampling Based Motion Planning for Automated Driving. - Marvin Klimke; Benjamin Völz; Michael Buchholz (IV, 2023)

Towards Cooperative Maneuver Planning in Mixed Traffic at Urban Intersections. - Marvin Klimke; Max Bastian Mertens; Benjamin Völz; Michael Buchholz (CoRR, 2024)