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 and real-world applications of motion planners on EDGAR. 

Projects

EDGAR: TUM Autonomous Vehicle - Simulation Group

CommonRoad: Benchmark and Motion Planning Suite

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

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] Learning Driving Corridor Cost Functions Using Inverse Reinforcement Learning

[MA] CommonRoad-Control: Control for Autonomous Driving

Teaching

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