Lane Markers Detection based on Consecutive Threshold Segmentation
Year: 2011
Journal of Information and Computing Science, Vol. 6 (2011), Iss. 3 : pp. 207–212
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.
Journal Article Details
Publisher Name: Global Science Press
Language: English
DOI: https://doi.org/2024-JICS-22677
Journal of Information and Computing Science, Vol. 6 (2011), Iss. 3 : pp. 207–212
Published online: 2011-01
AMS Subject Headings:
Copyright: COPYRIGHT: © Global Science Press
Pages: 6