Maximilian Naumann

Dr.-Ing. Maximilian Naumann

  • Former Group Leader
  • Karlsruher Institut für Technologie
    Institut für Mess- und Regelungstechnik
    Engler-Bunte-Ring 21
    Gebäude 40.32
    D-76131 Karlsruhe



  • Übungen zu Grundlagen der Mess- und Regelungstechnik (WS16/17)
  • Measurement and Control Systems Tutorial (WS16/17)
  • Übungen zu Regelungstechnik und Systemdynamik (SS17)
  • Messtechnisches Praktikum (SS17, SS18)
  • Rechnergestützte Verfahren in der Mess- und Regelungstechnik (WS16/17, WS17/18)

Academic Services

  • Reviewer for
    • IEEE Intelligent Transportation Systems Conference (ITSC)
    • IEEE International Conference on Robotics and Automation (ICRA)
    • IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
    • IEEE Intelligent Transportation Systems Magazine (ITSM)
    • IEEE Transactions on Intelligent Vehicles (T-IV)
    • International Journal of Geographical Information Science (IJGIS)
  • Co-chair of "Special Session on Cooperatively Interacting Automobiles (I)" at IEEE ITSC 2018
  • Organizer of workshop "Benchmarking Probabilistic Behavior Prediction in Highly Interactive Driving Scenarios" at IEEE IV 2020
  • Organizer of workshop "Probabilistic Prediction and Comprehensible Motion Planning for Automated Vehicles" at IEEE ITSC 2020

Software and Dataset Contributions


Danial Kamran, Yu Ren, Maximilian Naumann, Martin Lauer. High-level Decisions from a Safe Maneuver Catalog with Reinforcement Learning for Safe and Cooperative Automated Merging. In IEEE International Intelligent Transportation Systems Conference (ITSC), Indianapolis, IN, United States, September 2021. accepted.

Maximilian Naumann, Liting Sun, Wei Zhan, Masayoshi Tomizuka. Analyzing the Suitability of Cost Functions for Explaining and Imitating Human Driving Behavior based on Inverse Reinforcement Learning. In Proc. IEEE Intl. Conf. Robotics and Automation, Paris, France, June 2020.

Maximilian Naumann. Probabilistic Motion Planning for Automated Vehicles. Dissertation, Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie (KIT), Karlsruhe, 2020. [ DOI | http ]

Maximilian Naumann, Hendrik Königshof, Martin Lauer, Christoph Stiller. Safe but not Overcautious Motion Planning under Occlusions and Limited Sensor Range . In Proc. IEEE Int. Conf. Intelligent Vehicles, Paris, France, June 2019. [ DOI | .pdf ]

Maximilian Naumann, Hendrik Königshof, Christoph Stiller. Provably Safe and Smooth Lane Changes in Mixed Traffic. In Proc. IEEE Intl. Conf. Intelligent Transportation Systems, Auckland, NZ, Oct 2019. video. [ DOI | .pdf ]

Wei Zhan, Liting Sun, Di Wang, Haojie Shi, Aubrey Clausse, Maximilian Naumann, Julius Kümmerle, Hendrik Königshof, Christoph Stiller, Arnaud de La Fortelle, Masayoshi Tomizuka. INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps. arXiv:1910.03088 [cs, eess], 2019. [ http ]

Fabian Poggenhans, Jan-Hendrik Pauls, Johannes Janosovits, Stefan Orf, Maximilian Naumann, Florian Kuhnt, Matthias Mayr. Lanelet2: A High-Definition Map Framework for the Future of Automated Driving. In Proc. IEEE Intell. Trans. Syst. Conf., Seiten 1672--1679, Hawaii, USA, November 2018. [ DOI | .pdf ]

Maximilian Naumann, Fabian Poggenhans, Martin Lauer, Christoph Stiller. CoInCar-Sim: An Open-Source Simulation Framework for Cooperatively Interacting Automobiles. In Proc. IEEE Int. Conf. Intelligent Vehicles, Seiten 1879--1884, Changshu, China, June 2018. [ DOI | .pdf ]

Maximilian Naumann, Martin Lauer, Christoph Stiller. Generating Comfortable, Safe and Comprehensible Trajectories for Automated Vehicles in Mixed Traffic. In Proc. IEEE Intl. Conf. Intelligent Transportation Systems, Seiten 575--582, Hawaii, USA, Nov 2018. [ DOI | http ]

Maximilian Naumann, Piotr Orzechowski, Christoph Burger, Ömer Sahin Tas, Christoph Stiller. Herausforderungen für die Verhaltensplanung kooperativer automatischer Fahrzeuge. In AAET Automatisiertes und vernetztes Fahren, Beiträge zum gleichnamigen 18. Braunschweiger Symposium vom 8. und 9. Februar 2017, Seiten 287--307, Braunschweig, Germany, Feb 2017. ITS automotive nord e.V. ISBN: 978-3-937655-41-3. [ .pdf ]

Maximilian Naumann, Christoph Stiller. Towards Cooperative Motion Planning for Automated Vehicles in Mixed Traffic. In IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems Workshops, Vancouver, Canada, 2017. [ http ]

Eike Rehder, Maximilian Naumann, Niels Ole Salscheider, Christoph Stiller. Cooperative Motion Planning for Non-Holonomic Agents with Value Iteration Networks. arXiv preprint arXiv:1709.05273, 2017. [ http ]

Maximilian Naumann, André-Marcel Hellmund. Multi-Drive Road Map Generation on Standardized High-Velocity Roads using Low-Cost Sensor Data. In Proc. IEEE Int. Conf. Intelligent Transportation Systems, Seiten 113--120, Rio de Janeiro, Brazil, Nov 2016. [ DOI | .pdf ]