DocumentCode :
669327
Title :
Vision based navigation for golf ball collecting mobile robot
Author :
Cheol Ho Yun ; Yong-Seon Moon ; Nak Yong Ko
Author_Institution :
REDONE Technol., Gwangju, South Korea
fYear :
2013
fDate :
20-23 Oct. 2013
Firstpage :
201
Lastpage :
203
Abstract :
This paper describes a vision-based navigation method for an autonomous mobile robot which can be used to collect golf balls in the golf driving range. The relative position and directions between the golf ball and the mobile robot can be determined using wide-view images from the camera mounted on top of golf driving range. The camera information is sent to the main computer which makes map and the shortest path to the destination and then motion commands can be sent to the mobile robot wirelessly. Navigation system uses stereo camera images and Monte Carlo localization (MCL) to determine the location and orientation of the platform, from which it can plan a path to collect golf balls effectively. The prototype robot is tested in a real driving range and results from experiments are presented.
Keywords :
Monte Carlo methods; computerised navigation; mobile robots; path planning; robot vision; stereo image processing; MCL; Monte Carlo localization; autonomous mobile robot; camera information; golf ball collecting mobile robot; prototype robot; shortest path; stereo camera images; vision-based navigation method; wide-view images; Cameras; Mobile robots; Navigation; Robot vision systems; golf-ball collecting; mobile robot; navigation; vision;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Automation and Systems (ICCAS), 2013 13th International Conference on
Conference_Location :
Gwangju
ISSN :
2093-7121
Print_ISBN :
978-89-93215-05-2
Type :
conf
DOI :
10.1109/ICCAS.2013.6703893
Filename :
6703893
Link To Document :
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