Autonomous Racecar

Autonomous racecar research focuses on developing algorithms and systems enabling vehicles to navigate race tracks at high speeds without human intervention, aiming to minimize lap times and ensure safe operation. Current research emphasizes robust perception (using LiDAR, cameras, and IMUs), efficient path planning (often employing spline-based or graph search methods), and advanced control strategies (including model predictive control and variations of pure-pursuit). This field contributes significantly to the broader advancement of autonomous driving technologies by providing a challenging testbed for developing and validating perception, planning, and control algorithms in dynamic, high-stakes environments.