Dr. Marek BachmannDr. Marek Bachmann

Dr. Marek Bachmann

Wissenschaftlicher Mitarbeiter
Anschrift Universität Kassel
FB16, FG Kommunikationstechnik
Wilhelmshöher Allee 73
34121 Kassel
Raum Raum 0419
Telefon +49 561 804-6447
Telefax +49 561 804-6360
E-Mail-Adresse E-Mail schreiben
Bild von Dr. Marek  Bachmann

Curriculum Vitae

Marek Bachmann received the M.Sc. degree in computer science from University of Kassel, Germany in 2015 and finished his PhD in December 2021. Since 2013 he works as a researcher at the Chair for Communication Technology (ComTec) at the University of Kassel.

During his PhD he focused on the technical requirements for cooperative collision avoidance systems for vulnerable road users.

Currently he is continuing research in the domain of cooperative vulnerable road users (VRU) protection systems. His research focuses on methods for VRU behavior prediction using machine learning and context recognition. He carried out different research projects focusing on VRU safety systems with Continental AG and AUDI AG.


  1. M. Morold, M. Bachmann, and K. David, "Context Awareness for Cooperative VRU Collision Avoidance," accepted for publication, IEEE Vehicular Technology Magazine, 2022.
  2. M. Bachmann, L. H. Acosta, J. Götz, D. Reinhardt, and K. David, “Collision Avoidance for Vulnerable Road Users: Privacy versus Survival?,” in Proc. 5th International Workshop on Intelligent Transportation and Autonomous Vehicles Technologies (ITAVT 2022) in conjunction with IEEE/IFIP Network Operations and Management Symposium (NOMS 2021), Budapest, Hungary, April 2022.
  3. M. Bachmann, On the Requirements and Advantages of Cooperative Collision Avoidance for Vulnerable Road Users. Kassel: Kassel University Press, Oct. 2021.
  4. M. Bachmann, J. Götz, and K. David, “Technology Levels for VRU Safety Including Wireless Connected Cooperative Approaches,” in Proc. 2021 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS): W5 :AI/Machine Learning Enabled Connected Vehicles (ANTS’21 W5 AIMLECV), Hyderabad, India, 2021.
  5. I. Koenig, M. Bachmann, et al., “Traffic Safety in Future Cities by Using a Safety Approach Based on AI and Wireless Communications,” in 25. VDE-ITG-Fachtagung Mobilkommunikation (MKT’21), 2021.
  6. M. Bachmann, M. Morold, and K. David, “On the Required Movement Recognition Accuracy in Cooperative VRU Collision Avoidance Systems,” IEEE Transactions on Intelligent Transportation Systems, vol. 22, no. 3, pp. 1708–1717, March 2021, doi: 10.1109/TITS.2020.2976593.
  7. M. Bachmann, M. Morold, S. Engel, J. Götz, and K. David, “Camera vs. Cooperative VRU Collision Avoidance,” in Proc. IEEE 91st Vehicular Technology Conference: (VTC2020-Spring), Antwerp, Belgium, 2020, pp. 1–5.
  8. M. Morold, Q.-H. Nguyen, M. Bachmann, K. David, and F. Dressler, “Requirements on Delay of VRU Context Detection for Cooperative Collision Avoidance,” in Proc. 2020 IEEE 92nd Vehicular Technology Conference (VTC2020-Fall), Victoria, Canada, Nov. 2020, pp. 1–5.
  9. M. Morold, M. Bachmann, L. Mathuseck, and K. David, “Automated Learning of Pedestrian Walking Speed Profiles for Improved Movement Prediction,” in INFORMATIK 2019: 50 Jahre Gesellschaft für Informatik – Informatik für Gesellschaft (Workshop-Beiträge), 2019, pp. 209–218.
  10. M. Bachmann, M. Morold, K. David, and P. Henkel, “The Wireless Seat Belt Requirements, Experiments, and Solutions for Pedestrian Safety,” in Proc. 2018 IEEE International Conference on Pervasive Computing and Communications workshops (PerCom workshops), Athens, Greece, 2018, pp. 361–366.
  11. M. Bachmann, M. Morold, and K. David, “Improving Smartphone Based Collision Avoidance by Using Pedestrian Context Information,” in Proc. 2017 IEEE International Conference on Pervasive Computing and Communications Work in Progress (PerCom WiP 2017), Kona, USA, 2017, pp. 2–5.
  12. A. Jahn, M. Bachmann, P. Wenzel, and K. David, “Focus on the User: A User Relative Coordinate System for Activity Detection,” in Lecture notes in computer science, Modeling and Using Context, P. Brézillon, R. Turner, and C. Penco, Eds., Cham: Springer International Publishing, 2017, pp. 582–595.