RACR

RACR stands for the Racing Automation and Control Research group. This research group is dedicated to the advancement of autonomous racing technologies. Their work focuses on developing algorithms and systems that enable vehicles to race competitively and safely without human intervention. Key areas of research include perception, decision-making, motion planning, and control for high-speed autonomous vehicles.

The group's projects often involve simulating complex racing scenarios and developing sophisticated software architectures to handle real-time challenges. They aim to push the boundaries of what is possible in autonomous vehicle performance, particularly in dynamic and unpredictable environments like race tracks. This research has potential applications beyond motorsports, contributing to the broader field of autonomous driving by addressing critical issues of safety and performance in rapid maneuvers. The RACR group typically collaborates with academic institutions and industry partners to further their research objectives and accelerate the development of cutting-edge autonomous racing systems. Their publications and contributions often highlight advancements in areas such as computer vision for obstacle detection, reinforcement learning for optimal racing lines, and predictive control for stable high-speed cornering.