Fuzzy automatic driving system for a robot car

Abstract

This paper presents a fuzzy automatic driving system for a robot car, which contains the shortest path selection and obstacle avoidance fuzzy rules. The obstacle avoidance fuzzy rules are applied to the shortest path selection in automatic driving systems when obstacles randomly appear along the forward path. After assign the destination, the proposed fuzzy rules will avoid the obstacles and select the shortest path simultaneously. In experiments, a laser range sensor will sense the distance and direction information to provide the avoidance fuzzy rules, and a x-y position and direction sensor will detect the robot car's position and direction in the automatic driving systems. Finally, an assigned path with two destinations, which includes many random obstacles along the path, is designed to illustrate the excellent performance of the proposed fuzzy automatic driving system.