Presentation 2022-01-20
An Indoor Location Estimation Method with Learning Point Reduction
Imai Masahito, Koyama Akio,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) There are many location-based services using GPS. For instance, navigating a car, navigating pedestrians using apps on smartphones and providing some information about nearby stores have already been provided. The services that can be used in both outdoor and indoor environments will be provided if those services are steadily expanded. Therefore, indoor location estimation methods using BLE beacons, which can be installed at low cost, have been actively researched and developed. But those methods are not practical because the operating costs such as pre-learning costs are high in order to realize a highly accurate estimation. In this paper, we propose a highly accurate location estimation method that suppresses the learning data acquisition cost. In the proposed method, the learning data collected in a part of the similar environment using the BLE beacon is corrected and interpolated by using the Kalman filter and the linear interpolation method, and the location is estimated using it. In addition, considering the versatility, we also try verification in different environments and show the effectiveness of the proposed method.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Indoor location estimation / Fingerprint method / Learning point reduction / BLE beacon / Linear interpolation
Paper # IT2021-59,SIP2021-67,RCS2021-227
Date of Issue 2022-01-13 (IT, SIP, RCS)

Conference Information
Committee RCS / SIP / IT
Conference Date 2022/1/20(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Eiji Okamoto(Nagoya Inst. of Tech.) / Yukihiro Bandou(NTT) / Tadashi Wadayama(Nagoya Inst. of Tech.)
Vice Chair Toshihiko Nishimura(Hokkaido Univ.) / Tomoya Tandai(Toshiba) / Fumihide Kojima(NICT) / Toshihisa Tanaka(Tokyo Univ. Agri.&Tech.) / Takayuki Nakachi(Ryukyu Univ.) / Tetsuya Kojima(Tokyo Kosen)
Secretary Toshihiko Nishimura(NEC) / Tomoya Tandai(Panasonic) / Fumihide Kojima(Xiaomi) / Toshihisa Tanaka(Takushoku Univ.) / Takayuki Nakachi(Tokyo Univ. Agri.&Tech.) / Tetsuya Kojima(Saitamai Univ.)
Assistant Koichi Adachi(Univ. of Electro-Comm.) / Osamu Nakamura(Sharp) / Manabu Sakai(Mitsubishi Electric) / Masashi Iwabuchi(NTT) / Tatsuki Okuyama(NTT DOCOMO) / Taichi Yoshida(UEC) / Seisuke Kyochi(Univ. of Kitakyushu) / Masanori Hirotomo(Saga Univ.)

Paper Information
Registration To Technical Committee on Radio Communication Systems / Technical Committee on Signal Processing / Technical Committee on Information Theory
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) An Indoor Location Estimation Method with Learning Point Reduction
Sub Title (in English)
Keyword(1) Indoor location estimation
Keyword(2) Fingerprint method
Keyword(3) Learning point reduction
Keyword(4) BLE beacon
Keyword(5) Linear interpolation
1st Author's Name Imai Masahito
1st Author's Affiliation Yamagata University(Yamagata Univ.)
2nd Author's Name Koyama Akio
2nd Author's Affiliation Yamagata University(Yamagata Univ.)
Date 2022-01-20
Paper # IT2021-59,SIP2021-67,RCS2021-227
Volume (vol) vol.121
Number (no) IT-327,SIP-328,RCS-329
Page pp.pp.173-178(IT), pp.173-178(SIP), pp.173-178(RCS),
#Pages 6
Date of Issue 2022-01-13 (IT, SIP, RCS)