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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 45  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
RCS, NS
(Joint)
2022-12-15
12:05
Aichi Nagoya Institute of Technology, and Online
(Primary: On-site, Secondary: Online)
Two extensions of indoor localization system using IEEE802.15.4 for detection accuracy improvements
Kazushi Hamazaki, Yuanzhi Huo, Pradini Puspitaningayu, Nobuo Funabiki, Minoru Kuribayashi (Okayama Univ.)
(To be available after the conference date) [more]
CS, IE, IPSJ-AVM, ITE-BCT [detail] 2022-11-24
11:20
Aichi Nagoya Institute of Technology
(Primary: On-site, Secondary: Online)
Performance Evaluations of LiDAR-based Indoor Localization and Visualization System using LiDAR SLAM and 3D Point Clouds
Misa Nimura, Kenji Kanai, Jiro Katto (Waseda Univ.) CS2022-50 IE2022-38
In this paper, we extend our previous 2D LiDAR-based indoor localization system into the 3D system, enabling us to estim... [more] CS2022-50 IE2022-38
pp.13-18
CS 2022-07-15
14:20
Kagoshima Yakushima Environmental and Cultural Village Center
(Primary: On-site, Secondary: Online)
[Invited Talk] Application of state-space models to CNN estimation methods for indoor location estimation
Kaishin Hori, Satoru Aikawa, Sinichiro Yamamoto (Univ. of Hyogo) CS2022-36
Currently, GNSS is the most accurate outdoor location estimation technique. On the other hand, the accuracy of GNSS loca... [more] CS2022-36
pp.100-103
RCS 2022-06-17
09:20
Okinawa University of the Ryukyus, Senbaru Campus and online
(Primary: On-site, Secondary: Online)
A Study on Indoor Location Estimation Based on Complex-Domain Super MDS Method Using Time Series Information
Yuya Nishi, Takumi Takahashi (Osaka univ.), Hiroki Iimori, Giuseppe Abreu (JUB), Shinsuke Ibi (Doshisha Univ.), Seiichi Sampei (Osaka univ.) RCS2022-55
As sensor terminals become smaller, more energy-efficient, and more multi-functional, wireless communication networks ar... [more] RCS2022-55
pp.182-187
SeMI, IPSJ-DPS, IPSJ-MBL, IPSJ-ITS 2022-05-27
10:26
Okinawa
(Primary: On-site, Secondary: Online)
Accuracy evaluations of LiDAR-based indoor localization methods
Misa Nimura, Kenji Kanai, Kento Yamamoto, Jiro Katto (Waseda Univ) SeMI2022-12
In recent years, developments of robotic and Simultaneous Localization and Mapping (SLAM) technologies have been remarka... [more] SeMI2022-12
pp.53-58
SeMI, IPSJ-MBL, IPSJ-UBI 2022-03-08
10:50
Online Online Indoor Localization and Mapping with Pedestrian Dead Reckoning and LiDAR
Chisato Tatsuma, Shingo Ata (Osaka City Univ.) SeMI2021-90
When firefighters work at disaster areas, their safety management should be carefully operated. To treat firefighters' b... [more] SeMI2021-90
pp.41-46
RISING
(3rd)
2021-11-17
11:00
Tokyo
(Primary: On-site, Secondary: Online)
Evaluation of Impulse Response Estimation Algorithm for Indoor Wi-Fi Localization
Takahiro Matsuura, Daisuke Umehara (Kyoto Inst. of Tech.)
In recent years, there has been much research work on indoor localization using Wi-Fi. In this study, we focus on a Wi-F... [more]
CS 2021-10-15
10:40
Online Online User Data Selection using CNN Feature Extractor for Fingerprint Localization
Yohei Konishi, Satoru Aikawa, Shinichiro Yamamoto, Yuta Sakai (Univ of Hyogo) CS2021-57
This paper scopes a method that applies CNN to Fingerprint indoor localization. AP information are used to train the CNN... [more] CS2021-57
pp.26-31
CS 2021-10-15
11:05
Online Online Experimental Verification of Coordinate Interpolation for CNN Using Particle Filter in Wireless LAN Indoor Location Estimation
Kaishin Hori, Satoru Aikawa, Shinichiro Yamamoto, Sakai Yuta (Univ. of Hyogo) CS2021-58
(To be available after the conference date) [more] CS2021-58
pp.32-37
LOIS, IPSJ-SPT, IPSJ-GN 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-GN 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]
 Results 1 - 20 of 45  /  [Next]  
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