Indoor Positioning Scheme Using Off-the-Shelf Lighting Fixtures’ Fingerprints

Author:

Kobayashi Hiroyuki1

Affiliation:

1. Osaka Institute of Technology, 1-45 Chayamachi, Kita-ku, Osaka, Osaka 530-8568, Japan

Abstract

This paper discusses an indoor positioning technique aimed at human-centric services such as pedestrian navigation or service robots. The method is called “CEPHEID” and uses a light flickering pattern as an environmental fingerprint. The authors found that each lighting fixture has unique and distinguishable flickering characteristics. In this paper, CEPHEID is introduced as a “classifier” and its validity is shown based on experimental results. Additionally, an approach for improving the positional precision is proposed. The classifier and regressor are combined to create a zone-classified regressor model for CEPHEID. The basic performance of this concept is also tested using an experiment.

Funder

Japan Society for the Promotion of Science

Publisher

Fuji Technology Press Ltd.

Subject

Electrical and Electronic Engineering,General Computer Science

Reference30 articles.

1. R. Siegwart, I. R. Nourbakhsh, and D. Scaramuzza, “Introduction to Autonomous Mobile Robots 2nd edition,” The MIT Press, 2011.

2. S. Thrun, W. Burgard, and D. Fox, “Probabilistic ROBOTICS,” The MIT Press, 2005.

3. G. Dudek and M. Jenkin, “Computational Principles of Mobile Robotics,” Cambridge University Press, 2000.

4. H. Kobayashi, “A no-code and custom-made indoor positioning service by using lighting fixtures,” Proc. of the 22nd SICE System Integration Division Annual Conf., pp. 257-2578, 2021 (in Japanese).

5. H. Kobayashi, “Cepheid: An environment lighting classification technique for indoor localization,” Trans. of the Society of Instrument and Control Engineering, Vol.57, No.1, pp. 2-10, 2021 (in Japanese). https://doi.org/10.9746/sicetr.57.2

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