Foto von Tobias Mascetta

M.Sc. Tobias Mascetta


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 path planning and corridor negotiation for autonomous driving.


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

EDGAR: TUM Autonomous Vehicle - Simulation Group


Offered Topics

I am always looking for motivated students, who are interested in motion planning and autonomous vehicles.

If you want to discuss your own research idea or apply for an offered topic, please get in touch via mail including your CV, transcript of records, and a brief statement of your motivation.

 

Offered Topics:

[MA] Deep learning-based scene-aware behavior velocity planing for autonomous vehicles

[MA] Deep Learning-Based High-Level Corridor Selection in Optimization-Based Motion Planning

 


Teaching

Practical Course Motion Planning for Autonomous Vehicles (MPFAV):

  • Development of AV-Dataset Post-Processing Algorithms

Publications

2024

  • Tobias Mascetta, Edmond Irani Liu, Matthias Althoff: Rule-Compliant Multi-Agent Driving Corridor Generation using Reachable Sets and Combinatorial Negotiations. 2024 IEEE Intelligent Vehicle Symposium (IV), 2024 mehr… BibTeX Volltext (mediaTUM)
  • Würsching, Gerald; Mascetta, Tobias; Lin, Yuanfei; Althoff, Matthias: Simplifying Sim-to-Real Transfer in Autonomous Driving: Coupling Autoware with the CommonRoad Motion Planning Framework. 2024 IEEE Intelligent Vehicles Symposium (IV), 2024 mehr… BibTeX Volltext (mediaTUM)