Lane Detection with Moving Vehicles Using Color Information

被引：0

作者：

Arshad, Nasim ^{[1
]}

Moon, Kwang-Seok ^{[1
]}

Park, Seung-Seob ^{[2
]}

Kim, Jong-Nam ^{[3
]}

机构：

[1] Pukyong Natl Univ, Dept Elect Engn, Busan, South Korea

[2] Pukyong Natl Univ, Dept Comp Engn, Busan, South Korea

[3] Pukyong Natl Univ, IT Convergence & Applicat Dept, Busan, South Korea

来源：

WORLD CONGRESS ON ENGINEERING AND COMPUTER SCIENCE, WCECS 2011, VOL I | 2011年

基金：

新加坡国家研究基金会;

关键词：

lane identification; eccentricity; vehicle detection; lane detection; VISION;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

An increasing safety and reducing road accidents, thereby by saving lives are one of great interest in the context of Advanced Driver Assistance Systems. Apparently, among the complex and challenging tasks of future road vehicles is road lane detection or even road boundaries detection. We present a robust and real time approach to lane marker detection in urban streets. A lane-detection method aimed at handling moving vehicles in the traffic scenes is proposed in this brief. First, an adaptive region of interest ROI is set. The ROI is mainly in the bottom half of the image since the main lane information only appears in the bottom of the image. Then the lane marks are extracted based on color information. The extraction of lane-mark colors is designed in a way that is not affected by illumination changes and the proportion of space that vehicles on the road occupy.

引用

页码：499 / 502

页数：4

共 5 条

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