Volume 8, Issue 2
Lane Detection Method Based on Recursive Binary Fitting

Xianwu Gong & Ziqiang Tang

Journal of Fiber Bioengineering & Informatics, 8 (2015), pp. 373-380.

Published online: 2015-08

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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 ltering, 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.

  • Keywords

Lane Detection Canny Edges Detection Recursive Binary Line Fitting

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COPYRIGHT: © Global Science Press

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@Article{JFBI-8-373, author = {}, title = {Lane Detection Method Based on Recursive Binary Fitting}, journal = {Journal of Fiber Bioengineering and Informatics}, year = {2015}, volume = {8}, number = {2}, pages = {373--380}, 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 ltering, 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.}, issn = {2617-8699}, doi = {https://doi.org/10.3993/jfbim00105}, url = {http://global-sci.org/intro/article_detail/jfbi/4718.html} }
TY - JOUR T1 - Lane Detection Method Based on Recursive Binary Fitting JO - Journal of Fiber Bioengineering and Informatics VL - 2 SP - 373 EP - 380 PY - 2015 DA - 2015/08 SN - 8 DO - http://doi.org/10.3993/jfbim00105 UR - https://global-sci.org/intro/article_detail/jfbi/4718.html KW - Lane Detection KW - Canny Edges Detection KW - Recursive Binary Line Fitting AB - 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 ltering, 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.
Xianwu Gong & Ziqiang Tang. (2019). Lane Detection Method Based on Recursive Binary Fitting. Journal of Fiber Bioengineering and Informatics. 8 (2). 373-380. doi:10.3993/jfbim00105
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