2026
Robust Real-Time Sampling-Based Motion Planner for Autonomous Vehicles in Narrow Environments (I)
ICRA 2026poster
Real-time sampling-based planners increasingly use learned sampling distributions for faster planning in autonomous vehicles. These planners employ a neural network to predict the optimal path and bias some samples toward the path. However, inherent prediction inaccuracies of the network often lead …