文档介绍：Real-time Road Lane Recognition Using Fuzzy
Reasoning for AGV Vision System
Ping Kuang Qingxin Zhu, Guochan Liu
College puter Science and Technology, College puter Science and Technology,
University of Electronic Science and Technology University of Electronic Science and Technology
Chengdu, 610054, China. Chengdu, 610054, China.
Email:@ Email:******@uestc.
Abstract--Automatic guided vehicles (AGV) vision system is including the road lane edge. And a traditional method
an important research area puter vision. In order to
using Hough transform to detect the straight line is also
recognize the road lane quickly and effectively, this paper
presented a algorithm using Fuzzy reasoning based on Hough been used in road lane recognition, which is introduced in
transform to solve this problem, which improves the entire [11].
system’s real-time performance. After our tests on the test
vehicle, this method can speed up the road lane recognition II. APPROACH
velocity phenomenally, and it also can improve the stability in This paper presents a method of the road lane
driving.
recognition for the vision based AGV system.
Keywords: road lane recognition,fuzzy reasoning, Hough
The main study of this paper is listed below:
transform, real-time, AGV, computer vision
1. Integrate fuzzy reasoning into the process of the