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
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;
Conference_Titel :
Signal Processing Proceedings, 1998. ICSP '98. 1998 Fourth International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-4325-5
DOI :
10.1109/ICOSP.1998.770774
