Autonomous vehicle navigation and control require both planning and successful following
of a desired path through an environment. This is often performed by a hierarchical
framework that includes both a path planning algorithm and a path following controller.
However, these two levels often operate with different modeling assumptions, constraints,
and cost functions, leading to several challenges when integrated. To demonstrate the
challenges that arise specifically when mapped obstacles represent regions that can be …