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Lane detection algorithm at night based-on distribution feature of boundary dots for vehicle active safety
Zhang Ronghui; Wang Haiwei; Zhou Xi; Wang Lei; Jiang Tonghai
2012
Source PublicationInformation Technology Journal
ISSN18125638
Volume11Issue:5Pages:642-646
AbstractThis study introduces a novel detection algorithm to recognize the lane markers on a structured road at night. The proposed algorithm utilizes neighborhood average filtering, Sobel operator and threshold segmentation of maximum entropy to preprocess the original image. Combining gray level image and edge image obtained by Sobel operator, we analyze the distribution feature of lane boundary dots at night and sort the boundary dots into 4 sets. Then, multiple-direction searching method is carried out to eliminate the false lane boundary dots. Final, we use adapted Hough transformation algorithm to obtain the feature parameter of the lane edge. The proposed method is proved to be reliable and robust in outside environment through experiments for the various kinds of images. © 2012 Asian Network for Scientific Information.
DOI10.3923/itj.2012.642.646
Indexed ByEI
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Document Type期刊论文
Identifierhttp://ir.xjipc.cas.cn/handle/365002/1394
Collection多语种信息技术研究室
AffiliationXinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi 830011, China;IMARA Team, TNRIA, BP 105, 78153 Le Chesnay Paris, France;School of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510640, China
Recommended Citation
GB/T 7714
Zhang Ronghui,Wang Haiwei,Zhou Xi,et al. Lane detection algorithm at night based-on distribution feature of boundary dots for vehicle active safety[J]. Information Technology Journal,2012,11(5):642-646.
APA Zhang Ronghui,Wang Haiwei,Zhou Xi,Wang Lei,&Jiang Tonghai.(2012).Lane detection algorithm at night based-on distribution feature of boundary dots for vehicle active safety.Information Technology Journal,11(5),642-646.
MLA Zhang Ronghui,et al."Lane detection algorithm at night based-on distribution feature of boundary dots for vehicle active safety".Information Technology Journal 11.5(2012):642-646.
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