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题名: Lane detection algorithm at night based-on distribution feature of boundary dots for vehicle active safety
作者: Zhang Ronghui; Wang Haiwei; Zhou Xi; Wang Lei; Jiang Tonghai
刊名: Information Technology Journal
发表日期: 2012
DOI: 10.3923/itj.2012.642.646
卷: 11, 期:5, 页:642-646
收录类别: EI
摘要: This 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.
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内容类型: 期刊论文
URI标识: http://ir.xjipc.cas.cn/handle/365002/1394
Appears in Collections:多语种信息技术研究室_期刊论文

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作者单位: Xinjiang 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:
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.
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