Visual generalized predictive path tracking

This paper describes a path-tracking method which allows the real-time control of an autonomous vehicle. A generalized predictive control approach is used to keep the vehicle on a trajectory defined by a moving target, detected and tracked through image processing. A fast parallel implementation of the target tracking algorithms allows the system to achieve short target position update cycles. The path-tracking method has been used to control the autonomous vehicle ROMEO-3R.