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| Lane Detection Method Based on Recursive Binary Fitting |
| Xianwu Gong, Ziqiang Tang |
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Abstract This paper introduces a method of lane detection based on recursive
binary fitting method of the lane detection: First use canny edge
detection algorithm to detect the edges on the basis of gray images,
and then scan the edge image from the left to the right and from the
bottom to the top, we can extract the inner side of the lane edge of
the interested region and dilate the lane by connecting some
breakup, and on this basis and through the connected domain
filtering, to remove the one that does not conform to the
characteristics of binary image of lane. At last, we can get the
lane by the recursive binary fitting method. The results show that
the algorithm has good robustness and real-time performance.
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| Cite this article: |
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Xianwu Gong,Ziqiang Tang. Lane Detection Method Based on Recursive Binary Fitting[J]. Journal of Fiber Bioengineering and Informatics, 2015, 8(2): 373-380.
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2015, Vol. 8 
