Online Calibration for Autonomous Racing

Institut

Lehrstuhl für Fahrzeugtechnik (TUM-ED)

Typ

Bachelorarbeit / Semesterarbeit / Masterarbeit /

Inhalt

experimentell / theoretisch /  

Beschreibung

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.

Voraussetzungen

• 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

Möglicher Beginn

sofort

Kontakt

Maximilian Leitenstern, M.Sc.
Raum: MW 3508
Tel.: +49.89.289.10343
maxi.leitensterntum.de

Ausschreibung