TY - JOUR
T1 - Lane Markers Detection based on Consecutive Threshold Segmentation
AU - Huan Wang, Mingwu Ren and Sulin Shao
JO - Journal of Information and Computing Science
VL - 3
SP - 207
EP - 212
PY - 2024
DA - 2024/01
SN - 6
DO - http://doi.org/
UR - https://global-sci.org/intro/article_detail/jics/22677.html
KW - Automatic land vehicle   Lane markers detection    Weighted Hough Transformation 

AB -  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.