Year: 2015
Journal of Fiber Bioengineering and Informatics, Vol. 8 (2015), Iss. 2 : pp. 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.
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Journal Article Details
Publisher Name: Global Science Press
Language: English
DOI: https://doi.org/10.3993/jfbim00105
Journal of Fiber Bioengineering and Informatics, Vol. 8 (2015), Iss. 2 : pp. 373–380
Published online: 2015-01
AMS Subject Headings:
Copyright: COPYRIGHT: © Global Science Press
Pages: 8
Keywords: Lane Detection
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Robust Lane-Mark Extraction for Autonomous Driving Under Complex Real Conditions
Xuan, Hanyu
Liu, Hongzhe
Yuan, Jiazheng
Li, Qing
IEEE Access, Vol. 6 (2018), Iss. P.5749
https://doi.org/10.1109/ACCESS.2017.2731804 [Citations: 9]