[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.5391/IJFIS.2009.9.4.321

Self-Localization Algorithm for a Mobile Air Cleaner

Kim, Young-Baek (Division of Computer Science and Engineering, Kyungnam University)
Cho, Jin-Hee (Division of Computer Science and Engineering, Kyungnam University)
Rhee, Sang-Yong (Division of Computer Science and Engineering, Kyungnam University)

Publication Information

International Journal of Fuzzy Logic and Intelligent Systems / v.9, no.4, 2009 , pp. 321-326 More about this Journal

Abstract

The mobile air cleaner analyzes a distribution of polluted air to purify the air fast, calculates an optimal position and moves the position so that it can remove indoor dust more quickly. At this time, the self-localization is necessary to make the mobile air cleaner move accurately to the calculated position. This paper proposed a self-localization algorithm having high accuracy without complicated calculation and implemented it by combining a ultrasonic sensor and video processing technologies, so that it is suitable for a mobile air cleaner, and as a test result, the mean error of $\pm1cm$ appeared between the actually measured position and the calculated position.

Keywords

Air cleaner; Self-localization; Image processing; Ultrasonic sensor;

Citations & Related Records

Reference

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