@Article{JFBI-8-373,
author = {Xianwu Gong and Ziqiang Tang},
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}
}