A robust multi color lane marking detection approach for Indian scenario

被引：0
|
作者：
Boggavarapu, L. N. P. [1 ]
Vaddi, R. S. [1 ]
Anne, K. R. [1 ]
Vankayalapati, H. D. [2 ]
Munagala, J. K. [3 ]
机构：
[1] VR Siddhartha Engn Coll, Dept Informat Technol, Vijayawada, Andhra Pradesh, India
[2] VR Siddhartha Engn Coll, Dept Comp Sci Engn, Vijayawada, Andhra Pradesh, India
[3] VR Siddhartha Engn Coll, Dept Elect & Comp, Vijayawada, Andhra Pradesh, India
来源：
INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS | 2011年 / 2卷 / 05期
关键词：
Color segmentation; HSV; Edge orientation; connected components;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Lane detection is an essential component of Advanced Driver Assistance System. The cognition on the roads is increasing day by day due to increase in the four wheelers on the road. The cognition coupled with ignorance towards road rules is contributing to road accidents. The lane marking violence is one of the major causes for accidents on highways in India. In this work we have designed and implemented an automatic lane marking violence detection algorithm in real time. The HSV color-segmentation based approach is verified for both white lanes and yellow lanes in Indian context. Various comparative experimental results show that the proposed approach is very effective in the lane detection and can be implemented in realtime.
引用
收藏
页码：71 / 75
页数：5
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