Foto von Markus Koschi

Markus Koschi, M.Sc.

Technische Universität München

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


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 motion planning, prediction, formal verification, and falsification of autonomous vehicles with the goal to achieve a future of zero traffic accidents. Currently, Markus Koschi is working on the CAR@TUM project with the objective to plan safe maneuvers of automated vehicles.

If you are a student interested in this research, you can contact the CommonRoad team.




  • Motion Planning for Autonomous Vehicles (Masterpraktikum, summer term 2017 - winter term 2019/2020)
  • Techniques in Artificial Intelligence (Lecture, winter term 2017/2018 - winter term 2018/2019)
  • Cyber-Physical Systems (Masterseminar, winter term 2016/2017 - winter term 2017/2018)


Supervised Students

Winter term 2018/2019

  • Maria Althaus: Consideration of Safe Distances in Online Verification for Motion Planning of Autonomous Vehicles, Master Thesis, 2019.
  • Christian Baumann: Risk Assessment of Traffic Scenarios by Combining Reachability Analysis and a User Study, Master Thesis, 2019.
  • Sebastian Kaster: Online Prediction of Vehicles and Pedestrians for Guaranteed Motion Satey of Autonomous Vehicles, Master Thesis, 2019.
  • Martin Offenberger: Motion Prediction of Road Users Considering Traffic Rules at Intersection, Seminar, 2019.

Summer term 2018

  • Philip Meyersieck: Falsification of Adaptive Cruise Control Systems in Automated Vehicles, Master Thesis, 2018.
  • Fabian Schönert: Online Verification of Autonomous Driving in Parking Scenarios Using Set-Based Prediction, Master Thesis, 2018.

Winter term 2017/2018

  • Alexander Gaul: Over-Approximative Occupancy Prediction of Vehicles Considering Off-Tracking in Turns, Bachelor Thesis, 2018.
  • Lukas Streit: Web-Based Benchmark for Trajectory Planning of Autonomous Vehicles, Bachelor Thesis, 2018.
  • Stefan Urban: Evaluation of Set-Based Prediction using Real-World Measurement Data, Master Thesis, 2018.
  • Janik Müller: Autonomous driving - How to generate test scenarios efficiently?, Seminar, 2018.
  • Jean Elsner: Cost Functions for Trajectory Planning, Seminar, 2018.
  • Sebastian Maierhofer: Stochastic Methods for Long-Term Prediction, Seminar, 2018.

Summer term 2017

  • Lukas Willinger: Environmental Model with Sensor Limitations in Set-Based Traffic Prediction, Bachelor Thesis, 2017.
  • Mona Beikirch: Collision Avoidance in Urban Environments using Set-Based Prediction, Master Thesis, 2017.
  • Lukas Braunstorfer: Risk Assessment of Traffic Scenarios using Reachable Sets and Optimal Control, Bachelor Thesis, 2017.
  • Simon Speth: Securing Functional Maturity of Automated Driving Functions, Bachelor Thesis, 2017.
  • Maxime Allard: Formalizing and Integrating Traffic Rules at Intersections in Set-Based Prediction, Bachelor Thesis, 2017.
  • Ezgi Evcimen: An Overview on Safety Verification of Motion Planners, Seminar, 2017.

Winter term 2016/2017

  • Mona Beikirch: Considering Safe Distance Regulations for Set-Based Prediction of Traffic Participants, Seminar, 2017.
  • Moritz Gottelt: Analyzing the German Traffic Rules for Automated Driving, Seminar, 2017.
  • Rajat Koner: Open Source Map and Road Representation, Seminar, 2017.
  • Hannes Bibel: Interaction of Traffic Participants in Set-Based Prediction, Master Thesis, WS 2017.
  • Diana Papyan: Vehicle Turning Constraints for Set-Based Prediction, Master Thesis, 2017.
  • Hans Kirchner: Randomized Generation of Road Networks and 3D Visualization of Traffic Scenarios in Gazebo, Bachelor Thesis, 2017.
  • Vanessa Bui: Evaluating the Drivable Area considering Set-Based Prediction, Bachelor Thesis, 2017.




  • 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 mehr… BibTeX Volltext (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 mehr… BibTeX Volltext (mediaTUM)


  • 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 mehr… BibTeX Volltext (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 mehr… BibTeX Volltext (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 mehr… BibTeX Volltext (mediaTUM)