DocumentCode
2869654
Title
Robust detection of landmarks in color image based on fuzzy set theory
Author
Jiang, Gang-Yi ; Choi, Tae Young
Author_Institution
Div. of Electron. Eng., Ajou Univ., Suwon, South Korea
Volume
2
fYear
1998
fDate
1998
Firstpage
968
Abstract
There are some tasks required to make vehicles fully automated for road detection, obstacle avoidance, and sign recognition. Detecting landmarks is one of key steps to vision-based vehicle guidance. This paper focuses on detecting traffic-sign-type landmarks from real scenes. A new landmark extracting algorithm based on fuzzy set theory is proposed. Experimental results show that the algorithm is robust to noise and performs well on real landmark detection
Keywords
automatic guided vehicles; computer vision; fuzzy set theory; image colour analysis; object detection; object recognition; traffic engineering computing; automated vehicles; color image; fuzzy set theory; landmark extraction; obstacle avoidance; road detection; robust landmark detection; sign recognition; traffic sign; vision-based vehicle guidance; Color; Fuzzy logic; Fuzzy set theory; Gray-scale; Image processing; Layout; Navigation; Robustness; Shape; Vehicle detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Proceedings, 1998. ICSP '98. 1998 Fourth International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-4325-5
Type
conf
DOI
10.1109/ICOSP.1998.770774
Filename
770774
Link To Document