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Faculty of Electrical Engineering and Information Technology

Research focus:

Learning-based coupled perception and planning for automated driving using unsupervised learning methods

Further activities:

  • Supervision of control modeling and identification (winter semester)
  • Supervision of Automotive Systems (summer semester)
  • Supervision of multivariable systems and optimal control (summer semester)

Journal and book contributions:

2022

  • 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.

Conference papers:

2023

  • Diehl, C., T. Klosek, M. Krueger, N. Murzyn, T. Osterburg, T. Bertram: "Energy-based Potential Games for Joint Motion Forecasting and Control", Conference on Robot Learning (CoRL), Atlanta, USA, November 2023
  • Osterburg, T., C. Diehl, T. Bertram : "Social Behavior Prediction for Automated Vehicles Using Contrastive Learning", IFToMM D-A-CH, 2023 (Accepted)

2022

  • Stockem Novo, A.S., Marco Stolpe, Christopher Diehl, Timo Osterburg, Torsten Bertram, Vijay Parsi,Nils Murzyne, Mualla, Georg,Schneider, and Philipp Töws:"Mid-term status report on KISSaF: AI-based situation interpretation for automated driving" AmE 2022 - Automotive meets Electronics, 13th GMM-Symposium September 2022
  • Osterburg, T., Artemi Makarow, Frank Hoffmann, Torsten Bertram:"Dual model predictive control: online experimental design for nonlinear systems" Symposium VDI MECHATRONIK 2022
  • Diehl, C., T. Osterburg, N. Murzyn, G. Schneider, F. Hoffmann, T. Bertram: "Conditional Behavior Prediction for Automated Driving on Highways", Proc. 32nd 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