PERCEPTION
Localization and position correction for mobile robot using artificial visual landmarks
Kimihiro Okuyama, Tohru Kawasaki, Valeri Kroumov
- Year
- 2011
- Citations
- 18
Abstract
This paper presents some preliminary results about improving the precision in localization and position correction of mobile robot. The visual simultaneous localization and mapping (vSLAM®) algorithm is used for robot navigation. Artificial landmarks are used to improve the positioning of the robot. Experimental results show that, compared to other techniques, the proposed method has several advantages and can improve the robot localization and position calibration when vSLAM algorithm is used.
Keywords
Computer visionMobile robotArtificial intelligencePosition (finance)Computer scienceRobotSimultaneous localization and mappingCalibrationMobile robot navigationRobot control
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