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Edge extraction method study based on maximum entropy for linear lane identifying and tracking

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5 Author(s)
Wang Rong-ben ; Transp. Coll., Jilin Univ., Changchun, China ; Yu Tian-hong ; Jin Li-sheng ; Chu Jiang-wei
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In order to better abstract lane mark edge and identify it, this paper proposes a new edge extraction method based on maximum entropy. This method combines both one-dimension and two-dimension entropy information. Meanwhile, image window variation technology is also applied for lane mark edge extraction and lane mark parameters can be acquired based on the bi-normalized adjustable template. Finally lane mark real-time tracking is realized by applying trapezia AOI method.

Published in:

Intelligent Vehicles Symposium, 2005. Proceedings. IEEE

Date of Conference:

6-8 June 2005