A Method For Lane Detection Based on Color Clustering

被引：19

作者：

Ma, Chao ^{[1
]}

Xie, Mei ^{[1
]}

机构：

[1] Univ Elect Sci & Technol China, Zhongshan Inst, Sch Elect Engn, Chengdu 610054, Peoples R China

来源：

THIRD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING: WKDD 2010, PROCEEDINGS | 2010年

关键词：

lane detection; color clustering; curve fitting; least square;

D O I：

10.1109/WKDD.2010.118

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Concerning the problem of lane detection in the Lane Departure Warning (LDW) system, this paper presents one method to detect the region of lane marking based on the CIELab color features clustering. Color space can provide us more precious information than gray scale. This algorithm proves that it is feasible to recognize lane marking by using color clustering. According to the geometry feature of road, quadratic curve is adopted to match the lane. And also, least square method is proposed to depict the parameters of quadratic curve.

引用

页码：200 / 203

页数：4

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