AUTOMATED LOW VELOCITY VEHICLE PATH PLANNING

A method for planning a vehicle path includes generating an initial perception data set using one or more vehicle sensors. The data set includes data defining spatial positions of features extrinsic to the vehicle. The method determines an operational area of the parking operation, at least one goal pose of the vehicle, and a set of constraints. The method iteratively generates path segments using a reinforcement learning algorithm. Each completed set of path segments is configured to reposition the vehicle from the initial pose to one of the goal poses. Iteratively generating the sets of path segments includes determining a total path score for each generated set of path segments. The method selects a set of path that has a best total path score, generates a set of path points and provides the set of path points to an automated parking controller operation.