Motion Planning using Positively Invariant Sets on a Small-Scale Autonomous Vehicle
Self-driving technology has the opportunity to increase safety in automotive transportation by reducing the impact of human error. Motion planning is a key component of an autonomous system, responsible for providing reference trajectories and paths that the vehicle should follow. This thesis studies a motion-planning algorithm based on positively invariant sets. The focus is on design, implementa
