DocumentCode
394138
Title
A neural network based localization from distorted image in omnidirectional catadioptric vision system
Author
Zhe, Tang ; Lian, Sng Hong ; Zengqi, Sun
Author_Institution
Sch. of Electr. & Electron. Eng., Singapore Polytech., Singapore
Volume
2
fYear
2002
fDate
18-22 Nov. 2002
Firstpage
701
Abstract
Omni-directional catadioptric vision system has been used increasingly in RoboCup(Robot World Cup) medium-sized league for localization. Omni-directional vision system can greatly increase the view range of robot. The main disadvantage of this vision system is the image distortion. This paper proposed an efficient method, using an Artificial Neural Network, to localize the robot in the field based on the distorted video image captured by mobile robot.
Keywords
feedforward neural nets; learning (artificial intelligence); mobile robots; position control; robot vision; RoboCup; catadioptric vision system; image distortion; mobile robot; multilayered neural network; omnidirectional vision system; supervised learning; view range; Artificial neural networks; Cameras; Intelligent networks; Machine vision; Mirrors; Mobile robots; Neural networks; Robot sensing systems; Robot vision systems; Sensor systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Information Processing, 2002. ICONIP '02. Proceedings of the 9th International Conference on
Print_ISBN
981-04-7524-1
Type
conf
DOI
10.1109/ICONIP.2002.1198148
Filename
1198148
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