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Technical University of Munich
Technical University of Munich

Foto von Markus Koschi

Markus Koschi, M.Sc.

Technische Universität München

Informatik 6 - Lehrstuhl für Robotik, Künstliche Intelligenz und Echtzeitsysteme (Prof. Knoll)

Postadresse

Postal:
Boltzmannstr. 3
85748 Garching b. München

Curriculum Vitae

Markus Koschi is a research assistant in the Cyber-Physical Systems Group under Prof. Dr.-Ing. Matthias Althoff since 2016. He graduated with the Master of Science degree in mechanical engineering from the Technische Universität München, Germany, in 2016. From the same university, he received the Bachelor of Science degree in engineering science in 2014.

His research interests include automated vehicles, reachability analysis, and formal verification. Currently, Markus Koschi is working on the CAR@TUM project with the objective to plan safe maneuvers of automated vehicles.

Publications

2019

  • Christian Pek, Markus Koschi, and Matthias Althoff: An Online Verification Framework for Motion Planning of Self-driving Vehicles with Safety Guarantees. AAET - Automatisiertes und vernetztes Fahren, 2019 more… BibTeX Full text (mediaTUM)
  • Markus Koschi, Christian Pek, Sebastian Maierhofer, and Matthias Althoff: Computationally Efficient Safety Falsification of Adaptive Cruise Control Systems. Proc. of the IEEE Int. Conf. on Intelligent Transportation Systems, 2019 more… BibTeX Full text (mediaTUM)

2018

  • Markus Koschi, Christian Pek, Mona Beikirch, and Matthias Althoff: Set-Based Prediction of Pedestrians in Urban Environments Considering Formalized Traffic Rules. Proc. of the IEEE Int. Conf. on Intelligent Transportation Systems, 2018 more… BibTeX Full text (mediaTUM)
  • Matthias Althoff; Stefan Urban; Markus Koschi: Automatic Conversion of Road Networks from OpenDRIVE to Lanelets. Proc. of the IEEE International Conference on Service Operations and Logistics, and Informatics, 2018 more… BibTeX Full text (mediaTUM)
  • Söntges, Sebastian; Koschi, Markus; Althoff, Matthias: Worst-case Analysis of the Time-To-React Using Reachable Sets. Proc. of the IEEE Intelligent Vehicles Symposium, 2018 more… BibTeX Full text (mediaTUM)

2017