%0 Journal Article
%T Real-time and robust method for unstructured roads detection<br>一种实时鲁棒的非结构化道路检测算法*
%A WANG Xiao-dong
%A XU Cheng
%A LIU Yan
%A <br>王晓栋
%A 徐成
%A 刘彦
%J 计算机应用研究
%D 2010
%I 
%X This paper proposed an unstructured road detection algorithm based on block-segment Gaussian mixture model and B-spline curve model, called BSGMM_BS. First modeled the road and off-road regions by Gaussian mixture color model. Then introduced a method called block-segment method to extract the road edge points. Finally fitted two boundaries of the lane by the B-spline curve in which the best control points were searched by the least square method. Field tests and comparison experiments show that the algorithm is real-time and is robust against shadows, illumination variations.
%K unstructured road detection
%K Gaussian mixture model
%K B-spline curve
%K image processing<br>非结构化道路检测
%K 混合高斯模型
%K B样条曲线
%K 图像处理
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=D4E5A76B50B7962D0A4A352039132B12&yid=140ECF96957D60B2&vid=DB817633AA4F79B9&iid=DF92D298D3FF1E6E&sid=3D9E1EDB972DB5BB&eid=FD2F08F1989887AD&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=1&reference_num=10