Optimal Parking Series Summary - From Sampling to Optimized Trajectory
A compact map of the Optimal Parking planner, from the kinematic bicycle model and RRT* seed to sequential QP refinement and browser execution.
A compact map of the Optimal Parking planner, from the kinematic bicycle model and RRT* seed to sequential QP refinement and browser execution.
The parking problem, its state and input variables, and the five-state kinematic bicycle model used by the planner.
Why RRT* is used to generate a collision-free geometric path before trajectory optimization.