DocumentCode :
3481466
Title :
Application of Vision Target Localization for Mobile Robot
Author :
Jusoh, R.M.
Author_Institution :
Fac. of Eng., Univ. Putra Malaysia, Serdang
fYear :
2006
fDate :
27-28 June 2006
Firstpage :
144
Lastpage :
146
Abstract :
A though challenge for an autonomous mobile robot is reliable targets detection and localization. Many types of sensor are used for that purposes such as infrared, sonar, vision and laser. Monocular vision is one of the methods used for that reasons. Based on current trends vision sensor is used as different functions such as target recognition, obstacles avoidance, and navigation. This paper addresses issue on targets localization using a single color vision system. The objective is to localize targets at various locations to be retrieved by the mobile robot. The distances towards the targets are estimated based on decreasing in their sizes as the locations are farther from the mobile robot. Targets detection is done using color thresholding technique in RGB color space. The threshold value is selected by taking mean value of image samples and its standard deviation of the color components difference. The simple features such as diameter, x-y ratio and area are used to verify the correct targets are detected. The localization method takes less than one second to be completed where the system is running on Windows platform. The efficiency of the estimation is more than 90 percents and targets used in the testing are golf balls.
Keywords :
image colour analysis; mobile robots; path planning; robot vision; autonomous mobile robot; monocular vision; single color vision system; vision sensor; vision target localization; Artificial intelligence; Intelligent robots; Learning systems; Machine vision; Mobile robots; Object detection; Orbital robotics; Robot kinematics; Robot sensing systems; Robot vision systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Research and Development, 2006. SCOReD 2006. 4th Student Conference on
Conference_Location :
Selangor
Print_ISBN :
978-1-4244-0526-8
Electronic_ISBN :
978-1-4244-0527-5
Type :
conf
DOI :
10.1109/SCORED.2006.4339327
Filename :
4339327
Link To Document :
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