|Table of Contents|

[1] Li Xu, Zhang Weigong, Bian Xiaodong,. Research on detection of lane based on machine vision [J]. Journal of Southeast University (English Edition), 2004, 20 (2): 176-180. [doi:10.3969/j.issn.1003-7985.2004.02.010]
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Research on detection of lane based on machine vision()
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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
20
Issue:
2004 2
Page:
176-180
Research Field:
Traffic and Transportation Engineering
Publishing date:
2004-06-30

Info

Title:
Research on detection of lane based on machine vision
Author(s):
Li Xu Zhang Weigong Bian Xiaodong
Department of Instrument Science and Technology, Southeast University, Nanjing 210096, China
Keywords:
vision sensor lane edge image processing detection
PACS:
U46
DOI:
10.3969/j.issn.1003-7985.2004.02.010
Abstract:
To prevent a vehicle from departing the lane in assistant or automatic steering, real-time vision-based detection of lane is studied. The system architecture, detecting principle and lane model are described. Then the detecting algorithm of the lane image is discussed in detail. In this algorithm, several proper sub-windows in one image are first selected as the processing regions. To every sub-window, by means of such steps as appropriate pre-processing, edge detection and Hough transform, etc., the lane description features are extracted. Experimental results reveal that this detection method is of good real-time, high recognition reliability and strong robustness, etc., which can provide the decision-making foundation for the following automatic or assistant steering to some extent.

References:

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Memo

Memo:
Biographies: Li Xu(1975—), male, graduate; Zhang Weigong(corresponding author), male, doctor, professor, zhangwg@seu.edu.cn.
Last Update: 2004-06-20