Research on the Lane Detection Algorithm Based on Zoning Hough Transformation

Chao Fan; Li Long Hou; Shuai Di; Jing Bo Xu

doi:10.4028/www.scientific.net/AMR.490-495.1862

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 490-495Research on the Lane Detection Algorithm Based on...

Research on the Lane Detection Algorithm Based on Zoning Hough Transformation

Abstract:

In order to improve the adaptability of the lane detection algorithm under complex conditions such as damaged lane lines, covered shadow, insufficient light, the rainy day etc. Lane detection algorithm based on Zoning Hough Transform is proposed in this paper. The road images are processed by the improved ±45° Sobel operators and the two-dimension Otsu algorithm. To eliminate the interference of ambient noise, highlight the dominant position of the lane, the Zoning Hough Transform is used, which can obtain the parameters and identify the lane accurately. The experiment results show the lane detection method can extract the lane marking parameters accurately even for which are badly broken, and covered by shadow or rainwater completely, and the algorithm has good robustness.

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Periodical:

Advanced Materials Research (Volumes 490-495)

Pages:

1862-1866

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.490-495.1862

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Online since:

March 2012

Authors:

Chao Fan, Li Long Hou, Shuai Di, Jing Bo Xu

Keywords:

Improved Sobel Operator, Lane Detection, Two-Dimension Otsu, Zoning Hough Transformation

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