Online Calibration for Autonomous Racing

Institute

Lehrstuhl für Fahrzeugtechnik (TUM-ED)

Type

Bachelor's Thesis / Semester Thesis / Master's Thesis /

Content

experimental / theoretical /  

Description

The TUM Autonomous Motorsport team made history by winning the Abu Dhabi Autonomous Racing League (A2RL) in 2025 at the Yas Marina Circuit. A2RL is a premier competition where teams develop software for identical autonomous vehicles that compete at speeds exceeding 200 km/h. Every  perception and localization module depends on precisely known sensor extrinsics. However, vibrations, aerodynamic load, and other changes to the car shift sensor mounts over a race weekend. These theses develop targetless methods that estimate and continuously refine the calibration online, developed and validated on real A2RL racetrack data.

Requirements

• Enthusiasm for perception, autonomous driving and racing
• Very good coding skills
• The ability to collaborate in a team

Tags

FTM Studienarbeit, FTM AV, FTM AV Perception, FTM Weinmann, FTM Leitenstern, FTM Ebner, FTM Informatik

Possible start

sofort

Contact

Maximilian Leitenstern, M.Sc.
Room: MW 3508
Phone: +49.89.289.10343
maxi.leitensterntum.de

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