DocumentCode
2521606
Title
Study on Navigating Path Identification by Fuzzy Neural Network
Author
Ji, Shouwen ; Chen, Jiajuan ; Xie, Fang ; Zhang, Nan
Author_Institution
Transp. & Traffic Coll. of Beijing, Jiao Tong Univ., Shanghai
Volume
2
fYear
2006
fDate
Aug. 30 2006-Sept. 1 2006
Firstpage
191
Lastpage
194
Abstract
The method of recognizing navigating path in shadow is studied by using fuzzy neural network for autonomous vehicle, the fuzzy neural network model has 6 layers, and uses ft function as its fuzzy function. The dynamic BP algorithm is used to train the fuzzy neural network. Experiments of practical path identification are done. The results show that the method can effectively identify the path in shadow environment
Keywords
automated highways; backpropagation; fuzzy neural nets; image recognition; mobile robots; navigation; regression analysis; road vehicles; autonomous vehicle; dynamic BP algorithm; fuzzy function; fuzzy neural network; path navigation identification; shadow environment; Educational institutions; Fuzzy neural networks; Mobile robots; Navigation; Pixel; Remotely operated vehicles; Telecommunication traffic; Traffic control; Transportation; Vehicle dynamics;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovative Computing, Information and Control, 2006. ICICIC '06. First International Conference on
Conference_Location
Beijing
Print_ISBN
0-7695-2616-0
Type
conf
DOI
10.1109/ICICIC.2006.354
Filename
1691960
Link To Document