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

• 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)
• Pek, C.; Koschi, M.; Werling, M.; Althoff, M.: Enhancing Motion Safety by Identifying Safety-critical Passageways. Proc. of the 56th IEEE Conference on Decision and Control, 2017 mehr… BibTeX Volltext (mediaTUM)
• Koschi, Markus; Althoff, Matthias: SPOT: A tool for set-based prediction of traffic participants. Proc. of the IEEE Intelligent Vehicles Symposium, 2017 mehr… BibTeX Volltext ( DOI ) Volltext (mediaTUM)
• Althoff, Matthias; Koschi, Markus; Manzinger, Stefanie: CommonRoad: Composable benchmarks for motion planning on roads. Proc. of the IEEE Intelligent Vehicles Symposium, 2017 mehr… BibTeX Volltext ( DOI ) Volltext (mediaTUM)
• Koschi, Markus; Althoff, Matthias: Interaction-Aware Occupancy Prediction of Road Vehicles. Proc. of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017 mehr… BibTeX Volltext ( DOI ) Volltext (mediaTUM)