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Fakultät für Elektrotechnik und Informationstechnik



  • Diehl, C., T. Sievernich, M. Krüger, F. Hoffmann, T. Bertram: ”Uncertainty‑Aware Model‑Based Offline Reinforcement Learning for Automated Driving”, Robotics and Automation Letters (RA-L), 2023
  • Osterburg, T., C. Diehl, T. Bertram: ”Social Behavior Prediction for Automated Vehicles Using Contrastive Learning”, IFToMM D‑A‑CH, 2023 (Accepted)


  • Krüger, M., P. Palmer, C. Diehl, T. Osterburg, T. Bertram: ”Recognition Beyond Perception: Environmental Model Completion by Reasoning for Occluded Vehicles”, IEEE Robotics and Automation Letters (RA-L), 2022.
  • Diehl, C., T. Osterburg, N. Murzyn, G. Schneider, F. Hoffmann, T. Bertram: ”Conditional Behavior Prediction for Automated Driving on Highways”, Proc. 32. Workshop Computational Intelligence (CIW), 2022.
  • Novo, A.S., M. Stolpe, C. Diehl, T. Osterburg, T. Bertram, V. Parsi, N. Murzyn, F. Mualla, G. Schneider, P. Töws:Mid‑term status report on KISSaF: AI‑based Situation Interpretation for Automated Driving”, Automotive meets Electronics (AME), 2022.