An Efficient Lane Detection Algorithm Based on Hough Transform and Quadratic Curve Fitting


The Transactions of the Korea Information Processing Society (1994 ~ 2000), Vol. 6, No. 12, pp. 3710-3717, Dec. 1999
10.3745/KIPSTE.1999.6.12.3710,   PDF Download:

Abstract

For the development of unmanned autonomous vehicle, it is essential to detect obstacles, especially vehicles, in the forward direction of navigation. In order to reliably exclude regions that do not contain obstacles and save a considerable amount of computational effort, it is often necessary to confine computation only to ROI(region of interest)s. A ROI is usually chosen as the interior region of the lane. We propose a computationally simple and efficient method for the detection of lanes based on Hough transform and quadratic curve fitting. The proposed method first employs Hough transform to get approximate locations of lanes, and then applies quadratic curve fitting to the locations computed by Hough transform. We have experimented the proposed method on real outdoor road scene. Experimental results show that our method gives accurate detection of straight and curve lanes, and is computationally very efficient.


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Cite this article
[IEEE Style]
H. J. Kwon and J. H. Yi, "An Efficient Lane Detection Algorithm Based on Hough Transform and Quadratic Curve Fitting," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 6, no. 12, pp. 3710-3717, 1999. DOI: 10.3745/KIPSTE.1999.6.12.3710.

[ACM Style]
Hwa Jung Kwon and June Ho Yi. 1999. An Efficient Lane Detection Algorithm Based on Hough Transform and Quadratic Curve Fitting. The Transactions of the Korea Information Processing Society (1994 ~ 2000), 6, 12, (1999), 3710-3717. DOI: 10.3745/KIPSTE.1999.6.12.3710.