Paper Title:
Lane Markers Detection Based on Consecutive Threshold Segmentation
  Abstract

This paper proposed a simple and robust lane markers detection method for intelligent vehicle navigation. It needs not calculate inverse perspective map. The method uses multiple threshold segmentation instead of single threshold segmentation. And straight and curve lane markers are directly extracted in Run-Length accumulation (RLA) images. It performs well in various complex conditions and costs less than 50 ms for a 352 by 288 image. Experiments on many kinds of real complex image sequences demonstrate the effectiveness and efficiency of the proposed method.

  Info
Periodical
Advanced Materials Research (Volumes 317-319)
Chapter
Machine Vision
Edited by
Xin Chen
Pages
881-885
DOI
10.4028/www.scientific.net/AMR.317-319.881
Citation
H. Wang, S. L. Shao, "Lane Markers Detection Based on Consecutive Threshold Segmentation", Advanced Materials Research, Vols. 317-319, pp. 881-885, 2011
Online since
August 2011
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Price
$32.00
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