Real-time road lane recognition using fuzzy reasoning for AGV vision system

The automatic guided vehicle (AGV) vision system is an important research area in computer vision. In order to recognize the road lane quickly and effectively, this paper presents an algorithm using fuzzy reasoning based on the Hough transform to solve this problem, which improves the entire system's real-time performance. After our tests on the test vehicle, this method can speed up the road lane recognition velocity phenomenally, and it also can improve the stability in driving.