%0 Journal Article
%T An Uncertain Knowledge Based Real Time Road Scene Understanding Algorithm<br>基于不确定性知识的实时道路场景理解
%A WU Dong hui
%A YE Xiu qing
%A GU Wei kang
%A <br>吴东晖
%A 叶秀清
%J 中国图象图形学报
%D 2002
%I 
%X Because the environment of outdoor robot is very complicated, the visual navigation should be intelligent and robust enough. In order to improve the performance of computer vision navigation, a real time road scene understanding algorithm based on uncertain knowledge is presented in this paper. In this algorithm uncertain knowledge reasoning is applied to fuse the various image information and application knowledge, which make the algorithm can recognize the road scene robustly, even with the noise such as strong shadow and water on the road. Color information is used to obtain a coarse road region at first. And then image edge information is used to provide the precise road edge, which can meet the accuracy need of the visual navigation task. And this algorithm is well designed for real time application, which ensures that the visual navigation can make decisions in time. This algorithm has been applied on a real robot which has been tested in the real road environment for half a year. The experiment results are satisfying.
%K Computer
%K vision navigation
%K Road
%K scene understanding
%K Uncertain
%K knowledge reasoning<br>计算机视觉导航
%K 道路场景理解
%K 不确定性知识推理
%K 实时道路理解算法
%K 机器人
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=C6A32A69A67FF94A&yid=C3ACC247184A22C1&vid=DF92D298D3FF1E6E&iid=CA4FD0336C81A37A&sid=CB423C9A71560A74&eid=67969BA850333433&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=7&reference_num=13