2023
Real-Time Motion Planning Framework for Autonomous Vehicles with Learned Committed Trajectory Distribution
IROS 2023poster
This study proposes a realtime motion planning framework that leverages the prediction of a portion of the optimal trajectory for sampling-based anytime planning algorithms. Existing algorithms predict the entire optimal path and bias random samples toward it for fast path planning. However, these a…