A weighted matrix algorithm for vision based lane following in autonomous navigation

A weighted matrix algorithm (WMA) for vision based lane following in autonomous navigation is presented. After extracting the drivable region from images, the proposed algorithm is applied to divide the drivable region in lanes. A fuzzy logic controller is then employed to generate the steering and speed commands for lane following. Real time experimentation on a designed vehicle has validated the approach for lane following behavior.