DocumentCode
354253
Title
NN-based environment recognition of pipeline robot
Author
Zhou Xiao ; Tiansheng, Lu ; Zhijun, Li
Author_Institution
Shanghai Jiaotong Univ., China
Volume
2
fYear
2000
fDate
2000
Firstpage
1257
Abstract
Aimed at the environment recognition problem of pipeline robot in bent pipes this paper constructs the characteristic rotating vector description of images and uses RBF neural network to recognize the direction of turn. Experiments prove that the speed and accuracy of the algorithms can meet the requirement of visual servo control in pipeline robot
Keywords
computational complexity; image recognition; mobile robots; neurocontrollers; radial basis function networks; robot vision; servomechanisms; NN-based environment recognition; RBF neural network; bent pipes; pipeline robot; rotating vector image description; visual servo control; Image recognition; Neodymium; Neural networks; Pipelines; Robots; Servomechanisms;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location
Hefei
Print_ISBN
0-7803-5995-X
Type
conf
DOI
10.1109/WCICA.2000.863445
Filename
863445
Link To Document