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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 56 [Previous]  /  [Next]  
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
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