DocumentCode :
459008
Title :
Design and Modeling of Omni-directional Vision System Applied in Autonomous Soccer Robot
Author :
Wang, Yu ; Wang, Yong ; Xu, Xinhe
Author_Institution :
Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang
Volume :
2
fYear :
2006
fDate :
16-18 Oct. 2006
Firstpage :
610
Lastpage :
615
Abstract :
The autonomous soccer robot with conventional vision cameras has limited fields of view which can be overcome by moving the robot, thus increasing the control difficulty. A omni-directional vision system uses a combination of lenses and mirrors placed in a carefully arranged configuration to capture a much wider field of view. This paper introduced study on omni-directional vision system applied in autonomous soccer robot and its imaging model. Mirror parameters of omni-directional vision sensor were designed using condition and equation of single viewpoint constraint, and dimension of the omni-directional vision system was determined. A set of models including reflect and refraction model were built. The relation between image point and corresponding world point was determined that can offer essential model and algorithm for omni-directional image process. Their practicability is tested through the simulation and real image experiments
Keywords :
cameras; image sensors; mobile robots; refraction; robot vision; sport; autonomous soccer robot; imaging model; mirror parameter; omnidirectional image processing; omnidirectional vision sensor; omnidirectional vision system; reflect model; refraction model; single viewpoint constraint; vision camera; Cameras; Charge coupled devices; Charge-coupled image sensors; Intelligent sensors; Machine vision; Mirrors; Robot sensing systems; Robot vision systems; Robotics and automation; Sensor systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems Design and Applications, 2006. ISDA '06. Sixth International Conference on
Conference_Location :
Jinan
Print_ISBN :
0-7695-2528-8
Type :
conf
DOI :
10.1109/ISDA.2006.253906
Filename :
4021733
Link To Document :
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