Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
LOIS, IPSJ-SPT, IPSJ-CN |
2021-05-10 11:20 |
Online |
Online |
Extensions of Indoor Localization System Using IEEE802.15.4 Protocol for Multiple Users Kazushi Hamazaki, Pradini Puspitaningayu, Nobuo Hunabiki, Minoru Kuribayashi (Okayama Univ) LOIS2021-3 |
For the low-cost, small-size, and long-life system, we have developed the fingerprint-based indoor localization system (... [more] |
LOIS2021-3 pp.13-18 |
LOIS, IPSJ-SPT, IPSJ-CN |
2021-05-10 11:45 |
Online |
Online |
A Study of Parameter Optimization Method for Fingerprint-based Indoor Localization System Using IEEE 802.15.4 Devices Yuanzhi Huo, Pradini Puspitaningayu, Kazushi Hamazaki, Nobuo Funabiki, Minoru Kuribayashi (Okayama Univ), Kazuyuki Kojima (Shonan Institute of Technology) LOIS2021-4 |
To achieve the high accuracy while wearing an inexpensive, tiny, and long-life transmitter, we have developed a fingerpr... [more] |
LOIS2021-4 pp.19-24 |
SANE |
2021-01-28 14:40 |
Online |
Online |
Evaluation of Short-Range Indoor Positioning Method Using V matrix and Non-Uniform Antenna Array Yuto Takahashi, Naoki Honma, Kentaro Murata (Iwate Univ), Tomoki Murakami, Tomoaki Ogawa (NTT) SANE2020-41 |
In this report, we propose an indoor localization method using a captured V matrix, which is used in the devices complyi... [more] |
SANE2020-41 pp.20-25 |
SeMI |
2021-01-21 13:00 |
Online |
Online |
Study on UWB indoor localization method using machine learning-based accurate NLOS detection Keigo Ishida, Eiji Okamoto (NIT), Huan-Bang Li (NICT) SeMI2020-50 |
According to the automatization of factory and other facilities, there is a growing demand of accurate indoor location i... [more] |
SeMI2020-50 pp.39-44 |
RCS, SR, SRW (Joint) |
2020-03-05 10:35 |
Tokyo |
Tokyo Institute of Technology (Cancelled but technical report was issued) |
A Study on Indoor Localization for a Multiuser Environment based on Unified Fingerprint of Wi-Fi and Bluetooth Low Energy using Machine Learning Shunsuke Tsuchida, Takumi Takahashi (Osaka Univ.), Shinsuke Ibi (Doshisha Univ.), Seiichi Sampei (Osaka Univ.) RCS2019-353 |
In recent years, services using geo-location information of smartphones and tablets have been expanding.Although GNSS (G... [more] |
RCS2019-353 pp.177-182 |
IT, SIP, RCS |
2020-01-23 14:45 |
Hiroshima |
Hiroshima City Youth Center |
An NLOS sensor elimination method based on estimated position analysis using machine learning in indoor localization Keigo Ishida, Eiji Okamoto (NIT), Huan-Bang Li (NICT) IT2019-56 SIP2019-69 RCS2019-286 |
Indoor location information is getting more and more important in recent years. The localization method using a time of ... [more] |
IT2019-56 SIP2019-69 RCS2019-286 pp.123-128 |
AP, RCS (Joint) |
2019-11-21 14:50 |
Saga |
Saga Univ. |
[Invited Lecture]
Indoor Localization Improvement by Combining Wireless Beacon and Handset Sensor Information Kazushi Naruke, Naoki Honma, Daichi Kitamura (Iwate Univ.), Yusuke Sugawara, Atsushi Miura (ERi) AP2019-125 RCS2019-222 |
This paper proposes two methods for improving the accuracy of indoor localization, which combines RSSI (Received Signal ... [more] |
AP2019-125 RCS2019-222 pp.101-106(AP), pp.109-114(RCS) |
MIKA (2nd) |
2019-10-04 10:15 |
Hokkaido |
Hokkaido Univ. |
[Poster Presentation]
A study on accurate indoor localization in NLOS environments using sensor node selection Keigo Ishida, Eiji Okamoto (NIT), Huan-Bang Li (NICT) |
Indoor location information is getting more and more important in recent years. The localization method using a time of ... [more] |
|
SeMI, RCS, NS, SR, RCC (Joint) |
2019-07-11 10:40 |
Osaka |
I-Site Nanba(Osaka) |
[Poster Presentation]
A Study on Indoor Localization Based on Machine Learning with BLE with Compass Sensor Kodai Tasaki, Takumi Takahashi (Osaka Univ.), Shinsuke Ibi (Doshisha Univ.), Seiich Sampei (Osaka Univ.) RCC2019-29 NS2019-65 RCS2019-122 SR2019-41 SeMI2019-38 |
This paper deals with an indoor localization problem based on fingerprint estimation using the received signal strength ... [more] |
RCC2019-29 NS2019-65 RCS2019-122 SR2019-41 SeMI2019-38 pp.93-98(RCC), pp.119-124(NS), pp.115-120(RCS), pp.125-130(SR), pp.107-112(SeMI) |
RCS |
2019-06-19 11:20 |
Okinawa |
Miyakojima Hirara Port Terminal Building |
A study on accurate indoor localization in many NLOS sensor environments Keigo Ishida, Eiji Okamoto (NIT) RCS2019-47 |
Many factories are getting automated, and automated guided vehicles (AGV) have been utilized, where the indoor position ... [more] |
RCS2019-47 pp.61-66 |
ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] |
2019-02-19 16:15 |
Hokkaido |
Hokkaido Univ. |
[Invited Talk]
Indoor Positioning in Large Shopping Mall with Context Based Map Matching Yoshihiko Kamiya, Yanlei Gu, Shunsuke Kamijo (UT) |
This paper focus on large indoor environment and proposes an accurate indoor positioning system with context based map m... [more] |
|
ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] |
2019-02-20 10:40 |
Hokkaido |
Hokkaido Univ. |
On the fusion of activity recognition and indoor localization using a smartphone Ryohei Nakajima, Takaki Hasegawa (Saitama Univ.) ITS2018-77 IE2018-98 |
In this paper, we propose a system that improves both estimation accuracy by combining activity recognition and indoor l... [more] |
ITS2018-77 IE2018-98 pp.165-170 |
ICD, CPSY, CAS |
2018-12-21 14:10 |
Okinawa |
|
DC Magnetic Field Based Localization with Single Anchor Coil Ryo Shirai, Pei Hao Chen, Ryohei Shimizu, Masanori Hashimoto (Osaka Univ.) CAS2018-80 ICD2018-64 CPSY2018-46 |
In this paper, we propose a DC magnetic field based indoor localization method with a single anchor coil. The proposed m... [more] |
CAS2018-80 ICD2018-64 CPSY2018-46 pp.11-14 |
MoNA, IN, CNR (Joint) [detail] |
2018-11-15 13:40 |
Saga |
Karatsu Civic Exchange Plaza |
Geo-fencing System for Wireless LANs with Camera Go Yamanaka, Takayuki Nishio, Masahiro Morikura (Kyoto Univ.), Yuichi Maki, Shinichiro Eitoku, Takuya Indo (NTT) MoNA2018-27 CNR2018-24 |
Location aware services and networking are attracting a great deal of attentions.
This paper proposes a geo-fencing sys... [more] |
MoNA2018-27 CNR2018-24 pp.31-36(MoNA), pp.37-42(CNR) |
MICT, MI |
2018-11-06 14:30 |
Hyogo |
University of Hyogo |
A Study on Positioning Method in Hospital Keiko Yamashita, Shintaro Oyama (Nagoya Univ. Hospital), Tomohiro Otani (NTT DATA), Yoshimune Shiratori (Nagoya Univ. Hospital), Kensaku Mori (Nagoya Univ.) MICT2018-47 MI2018-47 |
Visualization of people and things in hospitals has recently become important topic for work efficiency improvement and ... [more] |
MICT2018-47 MI2018-47 pp.41-44 |
SR |
2018-10-31 13:25 |
Overseas |
Mandarin Hotel, Bangkok, Thailand |
[Poster Presentation]
Device-free Indoor Localization utilizing BLE devices by controlling advertisement channels Junming Jiang, Azril Haniz, Kentaro Saito, Jun-ichi Takada (Tokyo Tech) SR2018-85 |
Indoor localization has become a focus of research and development recently due to
the increasing demand for the indoor... [more] |
SR2018-85 pp.63-70 |
SR, RCS (Joint) (2nd) |
2018-10-31 13:25 |
Overseas |
Mandarin Hotel, Bangkok, Thailand |
[Poster Presentation]
Development of an Indoor Positioning System using Ultra-Wideband and Kalman Filtering Post-Processing Hashini Maldeniya, Attaphongse Taparugssanagorn (AIT) |
Indoor positioning considered as one of the research areas which is popular at present in both research and industry. Ma... [more] |
|
SRW |
2018-08-20 15:25 |
Okayama |
Okayama Univ. |
[Invited Talk]
Indoor Localization Using IR-UWB and Effective Approaches for Performance Improvement Li Huan-Bang, Ryu Miura, Toshinori Kagawa, Fumihide Kojima (NICT) SRW2018-19 |
The authors have been developing and evaluating IR-UWB positioning system. A mobile node performs time-of-arrival (TOA) ... [more] |
SRW2018-19 pp.57-62 |
RCS |
2018-06-20 13:30 |
Nagasaki |
Nagasaki University |
A Study on Indoor Localization based on Unified Fingerprint of Wi-Fi and Bluetooth Low Energy using Machine Learning Shunsuke Tsuchida, Shinsuke Ibi, Seiivhi Sampei (Osaka Univ.) RCS2018-35 |
This paper deals with an indoor localization by fingerprint estimation with the aid of machine learning on the basis of ... [more] |
RCS2018-35 pp.1-6 |
SIP, IT, RCS |
2018-01-22 15:45 |
Kagawa |
Sunport Hall Takamatsu |
A Study on Multi-dimensional Localization with Bluetooth Low Energy Beacon for Indoor Environments Hiroyuki Torii, Shinsuke Ibi, Seiich Sampei (Osaka Univ.) IT2017-81 SIP2017-89 RCS2017-295 |
This paper proposes an indoor localization method based on fingerprint using Received Signal Strength Indicator (RSSI) o... [more] |
IT2017-81 SIP2017-89 RCS2017-295 pp.155-160 |