Localization for Autonomous Motorsport

Institut

Lehrstuhl für Fahrzeugtechnik

Typ

Bachelorarbeit / Semesterarbeit / Masterarbeit /

Inhalt

experimentell / theoretisch /  

Beschreibung

The TUM Autonomous Motorsport team made history winning the Indy Autonomous Challenge
(IAC) 2021 – the first autonomous racing competition at the Indianapolis Motor Speedway
(IMS). Since then, the challenge has expanded further with several events taking place at
prestigious racetracks, such as the Las Vegas Motor Speedway or the Autodromo Nazionale
Monza. Following this great success, the Abu Dhabi Autonomous Racing League (A2RL) was
launched recently, with its first event taking place at the Yas Marina Circuit in 2024. At both
competitions, teams from several international universities compete by developing a software
stack for identical vehicles. Localization is a critical component of the software, ensuring that
vehicles accurately determine their position on the racetrack while driving against each other
at velocities >200km/h. Unique challenges for this topic arise due the high speed and GNSSdenied
environments. This requires the use of additional sensors, such as LiDAR, camera and
IMU for a reliable and precise localization.

Are you interested in the topic of localization for autonomous motorsport?

Then apply for a student research project, an interdisciplinary project, or a thesis in the TUM
Autonomous Motorsport Team. Your ideas and algorithms will have the opportunity to be
used on a real race car. Your software can become an integral part of the overall software of
the TUM Autonomous Motorsport Team.

Voraussetzungen

Qualifications:

You should be able to independently familiarize yourself with the topic and the tools and
have a structured way of working. You should be motivated to work in a fast-paced environment
and eager to collaborate with a highly motivated team of students and Ph.D. candidates.
Ideally, you have programming experience in Python and C++ and know the ROS2
framework. However, there are no hard requirements, as everything can be learned if you are willing tu put in the extra effort.

Contact:

If you are interested in this project, send your CV, transcript and a short motivation to:
Maximilian Leitenstern, M.Sc. | maxi.leitensterntum.de

Institute of Automotive Technology | Prof. Dr. Markus Lienkamp

Tags

FTM Studienarbeit, FTM AV, FTM AV Perception, FTM Leitenstern, FTM Informatik

Möglicher Beginn

sofort

Kontakt

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

Ausschreibung