A lane detection approach based on intelligent vision

被引：40

作者：

Yi, Shu-Chung ^{[1
,2
]}

Chen, Yeong-Chin ^{[2
]}

Chang, Ching-Haur ^{[3
]}

机构：

[1] Natl Changhua Univ Educ, Dept Comp Sci & Informat Engn, Changhua, Taiwan

[2] Asia Univ, Dept Comp Sci & Informat Engn, Taichung, Taiwan

[3] Asia Univ, Dept Photon & Commun Engn, Taichung, Taiwan

来源：

COMPUTERS & ELECTRICAL ENGINEERING | 2015年 / 42卷

关键词：

Lane departure; Lane detection; Image processing; Intelligent transportation system (ITS); HOUGH TRANSFORM; VEHICLE; ASSISTANCE;

D O I：

10.1016/j.compeleceng.2015.01.002

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper proposes driver assistant system architecture based on image processing techniques. A camera is mounted on the vehicle front window to detect the road lane markings and determine the vehicle's position with respect to the lane lines. A modified approach is proposed to accelerate the HT process in a computationally efficient manner, thereby making it suitable for real-time lane detection. The acquired image sequences are analyzed and processed by the proposed system, which automatically detects the lane lines. The experimental results show that the system works successfully for lane line detection and lane departure prediction. (C) 2015 Elsevier Ltd. All rights reserved.

引用

页码：23 / 29

页数：7

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