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Development of self-localizer using collaboration of trilateration and triangulation

Byoungsu Lee, Dong-Min Woo, Min-Kee Park, Seung‐Woo Kim

发表年份
2014
引用次数
8

摘要

This paper was performed to technically implement a sensing platform for Home-Wellness Robot. The self-Localization of an indoor mobile robot is very important for the sophisticated trajectory control. In this paper, the robot's self-localization algorithm was designed by using an RF sensor network and fuzzy inference. The robot realizes its self-localization, using RFID sensors, through the collaboration algorithm which uses fuzzy inference for combining the strengths of triangulation and triangulation. For the triangulation self-Localization, RSSI is implemented. TOA method is used for realizing the triangulation self-localization. The final improved position is, through fuzzy inference, made by the fusion algorithm of the resultant coordinates from trilateration and triangulation in real time. In this paper, good performance of the proposed self-localization algorithm is confirmed through the results of a variety of experiments in the base of RFID sensor network and reader system.

关键词

TrilaterationTriangulationComputer scienceComputer visionArtificial intelligenceRobotFuzzy logicMobile robotPosition (finance)Wireless sensor network

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