Research on Lane Detection Based on Machine Vision

被引：0

作者：

Yang, Xining ^{[1
]}

Gao, Dezhi ^{[1
]}

Duan, Jianmin ^{[1
]}

Yang, Lei ^{[1
]}

机构：

[1] Beijing Univ Technol, Intelligent Measure & Control Lab, Beijing, Peoples R China

来源：

PROCEEDINGS OF THE 2011 INTERNATIONAL CONFERENCE ON INFORMATICS, CYBERNETICS, AND COMPUTER ENGINEERING (ICCE2011), VOL 1: INTELLIGENT CONTROL AND NETWORK COMMUNICATION | 2011年 / 110卷 / 01期

关键词：

Lane detection; Hough transform; Image classify; Splines;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In order to enhance the real-time and stability of lane detection based on machine vision, a method for line detection based on combined road model is proposed. After image classification according to illumination, the image is processed by different algorithms during image pretreatment. For straight line and curve line in the vicinity, improved Hough Transform (HT) is adopted for line detection and tracking. Both of the road boundaries are fitted using Catmull-Rom Splines based on control points search algorithm for curve line in the distance. For various kinds of lanes on most structural road, experiment results indicate that the method has good robustness and stability.

引用

页码：539 / 547

页数：9

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