Search-Based Motion Planning for Performance Autonomous Driving
This research uses a search-based method to find optimal reference trajectories for autonomous vehicles on slippery roads to minimize lap time. It combines motion primitives, heuristic A* search, and specialized vehicle models that account for nonlinear dynamics and tire friction. The approach ensures safe and efficient driving in challenging low-friction conditions.