An efficient lane markers detection algorithm using log-polar transform and RANSAC

Ju-Young Kim; Hae-Ryoung Lim; Chan-Su Lee; Ja-Soon Jang

doi:10.1117/12.893529

24 September 2011 An efficient lane markers detection algorithm using log-polar transform and RANSAC

Ju-Young Kim, Hae-Ryoung Lim, Chan-Su Lee, Ja-Soon Jang

Proceedings Volume 8135, Applications of Digital Image Processing XXXIV; 81351J (2011) https://doi.org/10.1117/12.893529
Event: SPIE Optical Engineering + Applications, 2011, San Diego, California, United States

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.

Citation Download Citation

Ju-Young Kim, Hae-Ryoung Lim, Chan-Su Lee, and Ja-Soon Jang "An efficient lane markers detection algorithm using log-polar transform and RANSAC", Proc. SPIE 8135, Applications of Digital Image Processing XXXIV, 81351J (24 September 2011); https://doi.org/10.1117/12.893529

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