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Technical University of Munich

Dr.-Ing. Mathias Pechinger

Picture of Mathias Pechinger

Dr.-Ing. Mathias Pechinger

Research Focus

  • Connected and Automated Driving
  • Collective Perception
  • Automated Vehicles

  • Roadside Infrastructure Sensor Systems

Curriculum Vitae

Work experience
since 2023 Technical University of Munich
Chair of Traffic Engineering and Control

Researcher
2019 - 2023

Technical University of Applied Sciences Augsburg
Driverless Mobility
Researcher
2017 - 2019 Technical University of Applied Sciences Augsburg
Driverless Mobility
Research Assistant
2016 - 2017

Abt e-Line GmbH
Working Student

Education
2019

Master of Computer Science
Thesis: Automated Vehicle Guidance on Camera-Based Reference Track Identification
Technical University of Applied Sciences Augsburg
2017

Bachelor of Electrical Engineering
Thesis: Hybridization of a horse drawn carriage
Technical University of Applied Sciences Augsburg

Publications

  • Pechinger, Mathias; Niels, Tanja; Bogenberger, Klaus: Threshold Analysis of Static and Dynamic Occlusion in Urban Areas: A Connected Automated Vehicle Perspective. Transportation Research Record: Journal of the Transportation Research Board, 2024 more…
  • Lindner, Johannes; Pechinger, Mathias; Bogenberger, Klaus: Experimental Digital Twins: Unlocking Insights for Multimodal Transportation Systems through Targeted Data Collection. TRB Annual Meeting 2024, 2024 more…
  • Pechinger, Mathias: Collective Perception using Roadside ITS Stations: Simulations on Traffic Safety and Efficiency of Urban Automated Driving. Dissertation, 2023 more…
  • Stähler, Julian; Markgraf, Carsten; Pechinger, Mathias; Gao, David W: High-Performance Perception: A camera-based approach for smart autonomous electric vehicles in smart cities. IEEE Electrification Magazine 11 (2), 2023, 44--51 more…
  • Pechinger, Mathias; Schröer, Guido; Bogenberger, Klaus; Markgraf, Carsten: Roadside Infrastructure Support for Urban Automated Driving. IEEE Transactions on Intelligent Transportation Systems, 2023 more…
  • Kessler, Lisa; Pechinger, Mathias; Lindner, Johannes: Simulatorgestützte Mikromobilitätsforschung. Abschlusssymposium des Forschungsprojekts CapeReviso, 2023 more…
  • Pechinger, Mathias; Schröer, Guido; Bogenberger, Klaus; Markgraf, Carsten: Benefit of Smart Infrastructure on Urban Automated Driving-Using an AV Testing Framework. 2021 IEEE Intelligent Vehicles Symposium (IV), 2021 more…
  • Pechinger, Mathias; Schröer, Guido; Bogenberger, Klaus; Markgraf, Carsten: Cyclist Safety in Urban Automated Driving-Sub-Microscopic HIL Simulation. 2021 IEEE International Intelligent Transportation Systems Conference (ITSC), 2021 more…
  • Pechinger, Mathias; Schröer, Guido; Bogenberger, Klaus; Markgraf, Carsten: Hardware in the loop test using infrastructure based emergency trajectories for connected automated driving. 2020 IEEE Intelligent Vehicles Symposium (IV), 2020 more…
  • Pechinger, Mathias: Object Based Realtime Trajectory Planning of Autonomous Vehicles. ARC 2018: Applied Research Conference, 2018 more…

Supervised Theses

  • Mandaokar, Dnyandeep: Design and Comparison of Human-Machine-Interface Concepts for Investigating the Communication between Bicycles and Automated Shuttle Busses.
    Master Thesis. Start: 1.12.2023; End: 31.5.2024. Mentoring: Lindner, Dr. Pechinger. Abstract.
  • Terrasi, Alfonso: Development of a methodology for quality assess-ment of multimodal hubs.
    Master Thesis. Start: 1.10.2023; End: 15.3.2024. Mentoring: Dr. Tsakarestos, Dr. Pechinger. Abstract.
  • Emehrer, Johanna: Exploring Graph-based Navigation Meshes for Modelling Cyclist Behavior in Urban Environments.
    Bachelor Thesis. Start: 2.4.2024; End: 2.9.2024. Mentoring: Lindner, Kutsch, Dr. Pechinger. Abstract.
  • Caesar, Leonie: Exploring Graph-based Navigation Meshes for Modelling Wheelchair User Behavior in Urban Environments.
    Bachelor Thesis. Start: 6.11.2023; End: 6.4.2024. Mentoring: Lindner, Pechinger, Ilic. Abstract.
  • Chatterjee, Soumya: Perception Modelling of Autonomous Vehicles using Moving Observer Method.
    Study Project. Mentoring: Ilic, Pechinger.
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