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Proceedings Paper

An efficient lane markers detection algorithm using log-polar transform and RANSAC
Author(s): Ju-Young Kim; Hae-Ryoung Lim; Chan-Su Lee; Ja-Soon Jang
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Paper Abstract

In this paper, we present an efficient and robust lane markers detection algorithm using the log-polar transform and the random sample consensus (RANSAC). To extract the optimal lane marker points, we set firstly the regions of interest (ROIs) with variable block size and perform the preprocessing steps within ROIs. Then, to fit the lane model, these points are transformed to the log-polar space and then we use the RANSAC curve fitting algorithm to detect the exact lane markers of road. The various real road experimental results are presented to evaluate the effectiveness of the proposed algorithm.

Paper Details

Date Published: 24 September 2011
PDF: 8 pages
Proc. SPIE 8135, Applications of Digital Image Processing XXXIV, 81351J (24 September 2011); doi: 10.1117/12.893529
Show Author Affiliations
Ju-Young Kim, LED-IT Fusion Technology Research Ctr. (Korea, Republic of)
Hae-Ryoung Lim, LED-IT Fusion Technology Research Ctr. (Korea, Republic of)
Chan-Su Lee, LED-IT Fusion Technology Research Ctr. (Korea, Republic of)
Yeungnam Univ. (Korea, Republic of)
Ja-Soon Jang, LED-IT Fusion Technology Research Ctr. (Korea, Republic of)
Yeungnam Univ. (Korea, Republic of)


Published in SPIE Proceedings Vol. 8135:
Applications of Digital Image Processing XXXIV
Andrew G. Tescher, Editor(s)

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