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：

2010 INTERNATIONAL COLLOQUIUM ON COMPUTING, COMMUNICATION, CONTROL, AND MANAGEMENT (CCCM2010), VOL I | 2010年

关键词：

Lane detection; Hough transform; Image classify; Splines;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

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：528 / 531

页数：4

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