Road recognition for vision navigation of an autonomous vehicle by fuzzy reasoning

被引：3

作者：

Li, W ^{[1
]}

Jiang, XJ ^{[1
]}

Wang, YX ^{[1
]}

机构：

[1] Tsing Hua Univ, Dept Comp Sci & Technol, Beijing 100084, Peoples R China

来源：

FUZZY SETS AND SYSTEMS | 1998年 / 93卷 / 03期

关键词：

robotics; pattern recognition; artificial intelligence; image processing;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This paper presents a method for vision navigation of an autonomous vehicle by road recognition based on fuzzy reasoning. A mobile robot that operates in out-door environments requires fast image processing, noise protection, and robustness to environment changes. Some researchers use fuzzy inference for edge detection. Their idea is to classify a pixel in an original image into a border region or a uniform region according to luminance differences between the pixel and its neighboring ones. In this paper it is studied that for robot navigation some special knowledge is integrated into a fuzzy rule base to recognize road edges based on an approach for general edge extraction. This method is implemented on the THMR-III mobile robot. Some experiments show that this method yields satisfactory results in noise protection, and robustness to environment changes. (C) 1998 Elsevier Science B.V.

引用

页码：275 / 280

页数：6