DocumentCode :
327791
Title :
KRUS: a knowledge-based road scene understanding system
Author :
Fan, Chengfa ; Ye, Xiuqing ; Gu, Weikang
Author_Institution :
Dept. of Inf. & Electron. Eng., Zhejiang Univ., Hangzhou, China
Volume :
1
fYear :
1998
fDate :
16-20 Aug 1998
Firstpage :
731
Abstract :
The intelligence of an ALV (autonomous land vehicle) mostly comes from the vision system of the ALV. In order to improve the intelligence of the vision system, a knowledge-based road scene understanding system KRUS has been built. In the system, a road recognition algorithm combining fusing of edge and region information and using scene knowledge is presented, which makes the KRUS system intelligent enough to recognize road scenes robustly and precisely
Keywords :
edge detection; filtering theory; image segmentation; knowledge based systems; mobile robots; object recognition; road vehicles; robot vision; sensor fusion; KRUS; autonomous land vehicle; edge information; knowledge-based road scene understanding system; region information; road recognition algorithm; robust recognition; scene knowledge; Data mining; Equations; Image edge detection; Image recognition; Intelligent systems; Land vehicles; Layout; Machine vision; Noise robustness; Roads;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on
Conference_Location :
Brisbane, Qld.
ISSN :
1051-4651
Print_ISBN :
0-8186-8512-3
Type :
conf
DOI :
10.1109/ICPR.1998.711249
Filename :
711249
Link To Document :
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