Bayesian sequential estimation for path-following in a frenet frame

This paper considers the problem of path following for a car-like vehicle evolving at low speed. The path and the control law are defined in the trajectory frenet frame. A particle filter is used to estimate the steering angle applied to the vehicle. The experiment shows that path-following can be achieved for non-continuous curvature path.