Curriculum Vitae
Tobias Mascetta joined the Cyber-Physical System Group as a PhD candidate under the supervision of Prof. Althoff in May 2023. He got his bachelor degree in Industrial Engineering at TU Darmstadt and his master degree in Mechatronics and Robotics at TU Munich.
His research focuses on AI-enabled motion planning, multi-agent planning for scenario generation and real-world applications of motion planners on EDGAR.
Projects
EDGAR: TUM Autonomous Vehicle - Motion Planning
TIER IV & Autoware Foundation: Evaluation Pipeline for Motion Planning and Prediction for the TUM autonomous vehicle EDGAR
CommonRoad: Benchmark and Motion Planning Suite
Past Projects
i4Driving: EU-Project aimed at identifying human factors for better driver models with the long-term goal of developing a driver license for autonomous vehicles
Teaching
Currently:
None
Past:
- Practical Course Motion Planning for Autonomous Vehicles (MPFAV):
- Development of Motion Planning Algorithms on EDGAR
- CommonRoad Challenge
- Practical Course Building an Autonomous Truck:
- Perception and Localization Algorithms
Preprints
Phillip Karle, Tobias Betz, Marcin Bosk, Felix Fent, Nils Gehrke, Maximilian Geisslinger, Luis Gressenbuch, Philipp Hafemann, Sebastian Huber, Maximilian Hübner, Sebastian Huch, Gemb Kaljavesi, Tobias Kerbl, Dominik Kulmer, Tobias Mascetta, Sebastian Maierhofer, Florian Pfab, Filip Rezabek, Esteban Rivera, Simon Sagmeister, Leander Seidlitz, Florian Sauerbeck, Ilir Tahiraj, Rainer Trauth, Nico Uhlemann, Gerald Würsching, Baha Zarrouki, Matthias Althoff, Johannes Betz, Klaus Bengler, Georg Carle, Frank Diermeyer, Jörg Ott, and Markus Lienkamp: EDGAR: An Autonomous Driving Research Platform -- From Feature Development to Real-World Application. arxiv preprint.