Applying and Proving Suitable Planning Principles on RRT* for Autonomous Trucks
This thesis investigates how high-level planning principles can be deterministically and algorithmically incorporated into a sampling-based motion planner by modifying the structure of the RRT* algorithm. In particular, the requirement to always end a planned route by a reversing maneuver can be directly imposed through the expansion and connection logic of bidirectional search-trees, rather than
