TUM Autonomous Motorsport: Autonomous Driving at the limit
- Institut
- Lehrstuhl für Fahrzeugtechnik
- Typ
- Semesterarbeit Masterarbeit
- Inhalt
- experimentell theoretisch
- Beschreibung
Join our TUM Autonomous Motorsport team as part of your BA/SA/MA!
TUM Autonomous Motorsport is a team of PhD students from the Chair of Automotive Technology (FTM) looking for motivated students to join them. As part of the research into autonomous driving at the limits, FTM is taking part in two separate competitions around the world to show off the fastest autonomous driving on world-famous racetracks. FTM has been involved with in autonomous racing since the very beginning as part of Roborace and has been continuously involved in autonomous racing.
If you're passionate about autonomous driving, software development and motorsports, look no further!
As part of the Indy Autonomous Challenge (IAC), we are running a Dallara AV24:
- Based on a Indy Lights/Indy NXT chassis, second fastest open-wheeled oval racecars
- 400hp four-cylinder turbocharged engine
- 3 LiDAR, 2 RADAR, 6 Cameras
- Multi-Vehicle-Racing up to 280km/h on world-famous oval tracks like the Indianapolis Motor Speedway
- Road course racing planned in Monza
- Find out more about the car and series!
As part of the Abu Dhabi Autonomous Racing Leage (A2RL), we are running a Dallara EAV24 car:
- Based on a Super Formula chassis, one of the fastest open-wheel race cars is the world
- 450hp four-cylinder turbocharged engine
- 3 LiDAR, 4 RADAR, 7 Cameras
- Comparing laptimes against ex-F1 driver Daniil Kvyat
- Road course racing in Abu Dhabi and other famous racetracks around the world
- Find out more about the car and series!
- Voraussetzungen
We're looking for motivated students to joins us in writing the complex software stack required for racing one of the fastest robots in the world.
- You're passionate about writing software for autonomous vehicles
- You're interested in motorsports and would like to combine it with writing code
- You have experience writing code using Python and C++
- You have some experience using ROS 2
- You like working as part of a team of highly motivated students
Thesis can be written about any of the topics, that are part of our software stack:
- Perception/Tracking
- Prediction
- Planning
- Localization
- Control
- Evaluation
If you're interested in any of these topics, please send us a CV and a quick introduction of who you are, as well as your current transcript of records to: application.tam.ftmed.tum.de
Depending on what you are interested in, we will forward your applications to the supervisor that best fits your desired topic.
- Tags
- FTM Studienarbeit, FTM AV
- Möglicher Beginn
- sofort
- Kontakt
-
Dominic Ebner, M.Sc.
Raum: MW3510
Tel.: +49.89.289.15871
dominic.ebnertum.de - Ausschreibung
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