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We cannot only provide a single quote, we can provide a whole paper about the topic "Autonomous motorsport." You can find the paper here. But if you want to quote us: "In autonomous level 5 racing vehicles we need to use high-performance, robust and secure algorithms at high clock rates in real time due to its high speed — something we will not have on normal streets."

Offering

We are happy to collaborate with additional teams. Our Team has been part of the Roborace competition. We are experienced in the field of setting up a complete autonomous driving stack and the holistic testing of autonomous vehicles. When it comes to algorithms, we are focusing on dynamic path planning and control of the vehicle at the handling limits. In addition, we are experienced in tuning the algorithms to perform better at high velocities and accelerations. We developed a global optimal path planner and vehicle dynamics simulation that can be used for autonomous driving.

Needs

We would be happy to get input from other teams in the field of localization. Currently we are relying heavily on GPS localization but want to integrate more sophisticated algorithms, e.g. lidar or camera. In addition, our know-how in the field of object behavioral/trajectory prediction is more or less nonexistent. In our current algorithms we are using constraints that race cars will move on a fixed trajectory (global idalraceline) and will not move from it.

Team Videos

Team Photos

 
 

Team Whitepaper

Can’t view the Whitepaper? Click here to download