Notice of retraction
Vol. 32, No. 8(2), S&M2292

ISSN (print) 0914-4935
ISSN (online) 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.

Instructions to authors
English    日本語

Instructions for manuscript preparation
English    日本語

Template
English

Publisher
 MYU K.K.
 Sensors and Materials
 1-23-3-303 Sendagi,
 Bunkyo-ku, Tokyo 113-0022, Japan
 Tel: 81-3-3827-8549
 Fax: 81-3-3827-8547

MYU Research, a scientific publisher, seeks a native English-speaking proofreader with a scientific background. B.Sc. or higher degree is desirable. In-office position; work hours negotiable. Call 03-3827-8549 for further information.


MYU Research

(proofreading and recording)


MYU K.K.
(translation service)


The Art of Writing Scientific Papers

(How to write scientific papers)
(Japanese Only)

Sensors and Materials, Volume 32, Number 2(2) (2020)
Copyright(C) MYU K.K.
pp. 625-650
S&M2127 Research Paper of Special Issue
https://doi.org/10.18494/SAM.2020.2613
Published: February 20, 2020

Effective Trilateration-based Indoor Localization Method Utilizing Active Control of Lighting Devices [PDF]

Kazuki Moriya, Manato Fujimoto, Yutaka Arakawa, and Keiichi Yasumoto

(Received September 11, 2019; Accepted January 9, 2020)

Keywords: indoor localization, trilateration method, active control, distance-illuminance model, lighting device

In this paper, we propose a novel trilateration-based indoor localization method utilizing active control of lighting devices. The proposed method estimates the position of a target for measurement by utilizing a trilateration method based on the distances between the target and lighting devices calculated from the illuminance value obtained by active control. The active control involves turning on lighting devices newly installed in the target area one by one. Our method has three key ideas. The first is to remove the effect of light sources other than the lighting equipment used for localization by utilizing only the difference between the illuminance values obtained before and after turning on each lighting device. The second is to remove the influence of a human shadow by utilizing three lighting devices used for localization selected from four lighting devices newly installed in the target area. The third is to accurately estimate the position of a target by introducing a distance-illuminance model that can calculate the distance between an illuminance sensor and a lighting device accurately. To show the effectiveness of the proposed method, we conducted evaluation experiments. It was found that the proposed method can estimate the position of a target with approximately 1 m error on average.

Corresponding author: Manato Fujimoto


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Cite this article
Kazuki Moriya, Manato Fujimoto, Yutaka Arakawa, and Keiichi Yasumoto, Effective Trilateration-based Indoor Localization Method Utilizing Active Control of Lighting Devices, Sens. Mater., Vol. 32, No. 2, 2020, p. 625-650.



Forthcoming Regular Issues


Forthcoming Special Issues

Special Issue on Perceptual Deep Learning in Computer Vision and its Application
Guest editor, Chih-Hsien Hsia (National Ilan University)


Special issue on Novel Materials and Sensing Technologies on Electronic and Mechanical Devices (1)
Guest editor, Teen-Hang Meen (National Formosa University), Wenbing Zhao (Cleveland State University), and Hsien-Wei Tseng (Longyan University)
Call for paper


Special Issue on New Trends in Smart Sensor Systems
Guest editor, Takahiro Hayashi (Kansai University)
Call for paper


Special Issue on International Conference on BioSensors, BioElectronics, BioMedical Devices, BioMEMS/NEMS and Applications 2019 (Bio4Apps 2019)
Guest editor, Hirofumi Nogami and Masaya Miyazaki (Kyushu University)
Conference website
Call for paper


Special Issue on Materials, Devices, Circuits, and Analytical Methods for Various Sensors (4)
Guest editor, Chien-Jung Huang (National University of Kaohsiung), Cheng-Hsing Hsu (National United University), Ja-Hao Chen (Feng Chia University), and Wei-Ling Hsu (Huaiyin Normal University)
Conference website


Special Issue on Geomatics Technologies for the Realization of Smart Cities
Guest editor, He Huang and XiangLei Liu (Beijing University of Civil Engineering and Architecture)
Call for paper


Copyright(C) MYU K.K. All Rights Reserved.