Learning to Predict Ego-Vehicle Poses for Sampling-Based Nonholonomic Motion Planning

Holger Banzhaf, Paul Sanzenbacher, Ulrich Baumann +1

Sampling-based motion planning is an effective tool to compute safe trajectories for automated vehicles in complex environments. However, a fast convergence to the optimal solution…