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
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;
Conference_Titel :
Neural Information Processing, 2002. ICONIP '02. Proceedings of the 9th International Conference on
Print_ISBN :
981-04-7524-1
DOI :
10.1109/ICONIP.2002.1198148
