Title :
Real-time road lane recognition using fuzzy reasoning for AGV vision system
Author :
Kuang, Ping ; Zhu, Qingxin ; Liu, Guochan
Author_Institution :
Coll. of Comput. Sci. & Technol., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
The automatic guided vehicle (AGV) vision system is an important research area in computer vision. In order to recognize the road lane quickly and effectively, this paper presents an algorithm using fuzzy reasoning based on the Hough transform to solve this problem, which improves the entire system´s real-time performance. After our tests on the test vehicle, this method can speed up the road lane recognition velocity phenomenally, and it also can improve the stability in driving.
Keywords :
Hough transforms; automatic guided vehicles; computer vision; fuzzy logic; inference mechanisms; real-time systems; AGV vision system; Hough transform; automatic guided vehicles; computer vision; fuzzy reasoning; real-time performance; road lane recognition; speed up; stability; Cameras; Computer science; Computer vision; Educational institutions; Fuzzy reasoning; Machine vision; Real time systems; Remotely operated vehicles; Road vehicles; Testing;
Conference_Titel :
Communications, Circuits and Systems, 2004. ICCCAS 2004. 2004 International Conference on
Print_ISBN :
0-7803-8647-7
DOI :
10.1109/ICCCAS.2004.1346345
