DocumentCode :
2611645
Title :
A large planar camera array for multiple automated guided vehicles localization
Author :
Liang, Xuefeng ; Sumi, Yasushi ; Kim, Bong Keun ; Do, Hyun Min ; Kim, Yong-Shik ; Tomizawa, Tetsuo ; Ohara, Kenichi ; Tanikawa, Tamio ; Ohba, Kohtaro
Author_Institution :
Nat. Inst. of Adv. Ind. Sci. & Technol., Tsukuba
fYear :
2008
fDate :
2-5 July 2008
Firstpage :
608
Lastpage :
613
Abstract :
In this work, we create a large planar camera array in our intelligent environment. It extremely extends the scope of surveillance area, and more precisely localizes robots with high response speed for AGV system. In this camera array system, color based particle filter tracking algorithm efficiently performs the task of localizing and identifying robots. The tracking algorithm intelligently controls the camera array and significantly reduces the redundancy of image data to be processed. Therefore, the whole camera array can be controlled by one normal PC rather than the expensive and powerful computer cluster or embedding the micro-processor into cameras. An expansion resetting of particle filter makes our system also can automatically re-calibrate cameras if the pose of camera changes during an accident. Experiments show the camera array consisting of 15 cameras can localize 5 robots with 18 Hz~54 Hz.
Keywords :
automatic guided vehicles; image sensors; intelligent control; mobile robots; particle filtering (numerical methods); target tracking; AGV system; color based particle filter tracking algorithm; frequency 18 Hz to 54 Hz; intelligent controls; multiple automated guided vehicle localization; planar camera array; robots; Automatic control; Clustering algorithms; Intelligent robots; Particle filters; Particle tracking; Robot vision systems; Robotics and automation; Smart cameras; Surveillance; Vehicles; Automated Guided Vehicle (AGV); Camera switch; Large planar camera array; Localization; Recalibration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Intelligent Mechatronics, 2008. AIM 2008. IEEE/ASME International Conference on
Conference_Location :
Xian
Print_ISBN :
978-1-4244-2494-8
Electronic_ISBN :
978-1-4244-2495-5
Type :
conf
DOI :
10.1109/AIM.2008.4601729
Filename :
4601729
Link To Document :
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