- An Open-Source Framework for Evaluating Cooperative Perception in Urban Areas, 2025 mehr…
- 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 mehr…
- Experimental Digital Twins: Unlocking Insights for Multimodal Transportation Systems through Targeted Data Collection. TRB Annual Meeting 2024, 2024 mehr…
- Collective Perception using Roadside ITS Stations: Simulations on Traffic Safety and Efficiency of Urban Automated Driving. Dissertation, 2023 mehr…
- High-Performance Perception: A camera-based approach for smart autonomous electric vehicles in smart cities. IEEE Electrification Magazine 11 (2), 2023, 44--51 mehr…
- Roadside Infrastructure Support for Urban Automated Driving. IEEE Transactions on Intelligent Transportation Systems, 2023 mehr…
- Simulatorgestützte Mikromobilitätsforschung. Abschlusssymposium des Forschungsprojekts CapeReviso, 2023 mehr…
- Benefit of Smart Infrastructure on Urban Automated Driving-Using an AV Testing Framework. 2021 IEEE Intelligent Vehicles Symposium (IV), 2021 mehr…
- Cyclist Safety in Urban Automated Driving-Sub-Microscopic HIL Simulation. 2021 IEEE International Intelligent Transportation Systems Conference (ITSC), 2021 mehr…
- Hardware in the loop test using infrastructure based emergency trajectories for connected automated driving. 2020 IEEE Intelligent Vehicles Symposium (IV), 2020 mehr…
- Object Based Realtime Trajectory Planning of Autonomous Vehicles. ARC 2018: Applied Research Conference, 2018 mehr…
Dr.-Ing. Mathias Pechinger
Dr.-Ing. Mathias Pechinger
Themenschwerpunkte
- Vernetztes automatisiertes Fahren
- Kollektive Wahrnehmung
- Straßenseitige Infrastruktursensorik
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Automatisierte Fahrzeuge
Curriculum Vitae
Berufserfahrung | ||
seit 2023 | Technische Universität München Lehrstuhl für Verkehrstechnik Wissenschaftlicher Mitarbeiter | |
2019 - 2023 | Technische Hochschule Augsburg | |
2017 - 2019 | Technische Hochschule Augsburg Driverless Mobility Wissenschaftliche Hilfskraft | |
2016 - 2017 | Abt e-Line GmbH Werksstudent | |
Ausbildung | ||
2019 | Master of Computer Science | |
2017 | Bachelor of Electrical Engineering |
Publikationen
Betreute Studienarbeiten
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