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