This paper presents a new method for fuzzy-logic-based vision navigation of an autonomous vehicle in out-door environments.Its idea is that

based on a general approach for edge extraction by fuzzy inference

some special knowledge is integrated into a fuzzy rule base to recognize white lines or edges on roads for robot motion.This method is noise protection

and robustness to environment changes.Some experiments demonstrate the effectiveness and robustness of the proposed method.