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Self-localization by omni-directional camera and luminous landmarks for autonomous mobile robot

Shigeki Nakayama, Itaru Matsumoto, Masato Uchida

Year
2016
Citations
2

Abstract

In this study, we detected multicolor luminous landmarks by omni-directional camera installed to the mobile robot. Then, we modify the route of the robot by detected multiple landmarks for self-localization. In this paper, we propose selection method of three landmarks based on standard deviation of predicted value of self-localization, and we verify effectiveness of proposed method by the experiment.

Keywords

Computer visionMobile robotArtificial intelligenceComputer scienceRobotStandard deviationMathematics

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