Occlusion-Aware Contingency Safety-Critical Planning for Autonomous Driving
The work proposes an occlusion-aware contingency planner for autonomous vehicles to ensure safe and efficient driving when visibility is blocked by obstacles. It combines reachability analysis for risk assessment with a consensus ADMM method to split the complex planning problem into manageable parts, allowing the vehicle to generate exploration and fallback paths in real-time.