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