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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 30  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
HCGSYMPO
(2nd)
2023-12-11
- 2023-12-13
Fukuoka Asia pacific Import Mart (Kitakyushu)
(Primary: On-site, Secondary: Online)
Hybrid Positioning with Deep-Learning-based PDR and BLE Beacons
Kazuma Kano, Keisuke Higashiura, Koki Takigami, Kohei Yamaguchi, Yoshiteru Nagata, Shin Katayama, Kenta Urano, Takuro Yonezawa, Nobuo Kawaguchi (Nagoya Univ.)
In various industrial settings, there is a growing demand for digitizing and utilizing people's location information to ... [more]
HCGSYMPO
(2nd)
2023-12-11
- 2023-12-13
Fukuoka Asia pacific Import Mart (Kitakyushu)
(Primary: On-site, Secondary: Online)
Designing a Methodology for Participation in the xDR Challenge 2023
Matthieu Pereira (U. Rennes), Huakun Liu, Yutaro Hirao, Monica Perusquia-Hernandez, Hideaki Uchiyama, Kiyoshi Kiyokawa (NAIST)
In this paper, we introduce our participation in the XDR Challenge 2023, a competition held in 2023. We present our appr... [more]
ITS, IPSJ-ITS, IEE-ITS 2023-08-29
16:45
Kanagawa Kanto Gakuin Univ. (Kanazawa-Hakkei Campus)
(Primary: On-site, Secondary: Online)
A Study on evaluation index for step counting of PDR
Hana Osawa, Masahiro Fujii (Utsunomiya Univ.) ITS2023-10
Pedestrian Dead Reckoning (PDR) is an alternative pedestrian location estimation method for indoor when GNSS (Global Nav... [more] ITS2023-10
pp.16-21
CQ, IMQ, MVE, IE
(Joint) [detail]
2022-03-09
10:35
Online Online (Zoom) [Short Paper] Estimating direction of pedestrians during free walking using a hand-held smartphone
Ikuto Ohki, Hidehiko Shishido, Yoshinari Kameda (U-Tsukuba) IMQ2021-17 IE2021-79 MVE2021-46
In a walking support system for the visually impaired, if the system can estimate which way the next step will be taken,... [more] IMQ2021-17 IE2021-79 MVE2021-46
pp.39-42
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
SeMI, IPSJ-MBL, IPSJ-DPS, IPSJ-ITS 2021-05-28
11:50
Online Online Estimation of moving in stairs by partial introduction of training data for supporting indoor PDR
Chisaki Takahashi, Hiroaki Morino (SIT) SeMI2021-9
Research focusing on PDR (Pedestrian Dead Reckoning) is being conducted as it would be useful to support rescue activiti... [more] SeMI2021-9
pp.45-50
MoNA 2018-12-25
17:00
Tokyo   Detection of user's movement state using rotation vector sensor in indoor PDR for disaster relief
Masaki Nishizaka, Hiroaki Morino (SIT) MoNA2018-55
It is important to quickly rescue the requisite rescuers in the building after a large-scale disaster such as an earthqu... [more] MoNA2018-55
pp.95-99
ITS, WBS, RCC 2017-12-14
10:00
Okinawa Tiruru/Okinawa Jichikaikan [Poster Presentation] A study on suppression method for direction reversal caused by IMU for PDR
Yuya Sakuma, Masahiro Fujii (Utsunomiya Univ.) WBS2017-35 ITS2017-12 RCC2017-51
In this paper, we report on a study on direction estimation method for the PDR (Pedestrian Dead--Reckning) by using the ... [more] WBS2017-35 ITS2017-12 RCC2017-51
pp.1-6
ITS, WBS, RCC 2017-12-15
13:30
Okinawa Tiruru/Okinawa Jichikaikan ()
Ryoya Yano (Waseda Univ.), Kazuaki Ishikawa (Zenrin DataCom), Masao Yanagisawa, Nozomu Togawa (Waseda Univ.) WBS2017-73 ITS2017-50 RCC2017-89
(To be available after the conference date) [more] WBS2017-73 ITS2017-50 RCC2017-89
pp.215-220
HCGSYMPO
(2nd)
2017-12-13
- 2017-12-15
Ishikawa THE KANAZAWA THEATRE Integration the PDR to camera-based location estimation and a study of its sound navigation interface
Kazuho Kamasaka, Itaru Kitahara (Tsukuba Univ.), Ryosuke Ichikari, Masakatsu Kourogi, Takeshi Kurata (AIST), Yoshinari Kameda (Tsukuba Univ.)
We are proposed a location estimation method only using a camera that supports walking out of visually impaired people. ... [more]
PRMU, IPSJ-CVIM, MVE [detail] 2017-01-19
15:30
Kyoto   Identifiation PDR sensor user with person taken by RGB-D camera utilizing double support phase of gait
Yoshiki Hashimoto (Kyushu Univ.), Masaki Onishi, Masakatsu Kourogi, Takeshi Kurata (AIST), Atsushi Shimada (Kyushu Univ.), Daisaku Arita (Univ. of Nagasaki), Rin-ichiro Taniguchi (Kyushu Univ.) PRMU2016-133 MVE2016-24
An indoor pedestrian position estimation method is one of the important basic techniques to make novel human-centered se... [more] PRMU2016-133 MVE2016-24
pp.129-134
CQ
(2nd)
2016-10-06
14:20
Nagano Naganoken Nokyo Building [Poster Presentation] Indoor Localization System with Wi-Fi Fingerprints and Pedestrian Dead Reckoning
Ryota Kosaka, Gia Khanh Tran, Kei Sakaguchi, Kiyomichi Araki (Tokyo Tech)
In recent years, location estimation techniques have been attracting much attention, because of rapidly growing location... [more]
ITS, IPSJ-ITS, IEE-ITS 2016-09-14
12:50
Tokyo Nihon University A Study on Step Length Estimation based on Acceleration Sensor in Pedestrian Dead Reckoning
Hirotaka Inoue, Hiroyuki Hatano, Masahiro Fujii, Atsushi Ito, Yu Watanabe (Utsunomiya Univ.) ITS2016-11
The PDR (Pedestrian Dead Reckoning) is one of the pedestrian indoor location estimation techniques.The PDR can estimate ... [more] ITS2016-11
pp.27-32
PRMU, IPSJ-CVIM, MVE [detail] 2016-01-21
11:30
Osaka   Identification between Pedestrian Observed RGB-D camera and PDR User for Pedestrian Position Tracking in an Indoor Environment
Wataru Kihara (Nagaoka Univ. of Tech.), Ryo Kawahata (Kyushu Univ.), Masaki Onishi, Masakatsu Kourogi, Takeshi Kurata (AIST) PRMU2015-115 MVE2015-37
Getting Information of positions and directions of pedestrians indoors is basic technology for providing people with ser... [more] PRMU2015-115 MVE2015-37
pp.31-36
HCGSYMPO
(2nd)
2015-12-16
- 2015-12-18
Toyama Toyama International Conference Center A Performance Report of Ubicomp/ISWC 2015 PDR Challenge
Katsuhiko Kaji (AIT), Nobuo Kawaguchi (Nagoya Univ.)
PDR (Pedestrian Dead-Reckoning) is one of the promising technology for
indoor positioning. We organized PDR Challenge ... [more]

PRMU, BioX 2015-03-19
10:30
Kanagawa   Multi-User Localization in Indoor Environment Based on Trajectory Group Optimization
Takeshi Endo (Osaka Univ.), Yoshimichi Ito (OECU), Noboru Babaguchi (Osaka Univ.) BioX2014-41 PRMU2014-161
In this report, we propose a method for estimating trajectories of smartphone users in indoor environment. Trajectory es... [more] BioX2014-41 PRMU2014-161
pp.11-16
RCC 2015-01-15
11:10
Aichi Nagoya University A Study on Reducing Multipath Effect of UWB Navigation
Toshinori Kagawa, Huan-Bang Li, Ryu Miura (NICT) RCC2014-66
Demands for indoor-localization or indoor-navigation are increasing in many fields such as a marketing, shopping related... [more] RCC2014-66
pp.7-12
ITS, IEE-ITS, IPSJ-ITS [detail] 2014-09-19
16:05
Tottori Tottori Univ. (Tottori Campus) Pedestrian Dead Reckoning for Mobile Phones with Magnetic Deviation Map and GPS Accuracy
Kenichi Sunagawa, Li-Ta Hsu, Shunsuke Kamijo (Univ. of Tokyo) ITS2014-17
Pedestrian Dead Reckoning (PDR) is an effective positioning method that can be used in urban-canyon environments where t... [more] ITS2014-17
pp.71-76
HPB
(2nd)
2014-02-28
14:05
Tokyo The University of Tokyo (Komaba II) Energy-efficient Positioning Method for the Human Probe based on the ID Section System of the Road
Shigeki Hosokawa (S.Hosokawa), Kaori Fujinami (K.Fujinami)
The miniaturization and high performance of the sensor device and mobile phone, the study of human probe has been active... [more]
IA 2014-01-30
13:35
Tokyo Kikai-Shinko-Kaikan Bldg. Development and Evaluation of Guidance System in Hospital using Android Device and PHS
Ryoji Aoki, Hiroshi Yamamoto (Nagaoka Univ. of Tech.), Kei-ichi Iguchi (ABIT), Katsuyuki Yamazaki (Nagaoka Univ. of Tech.) IA2013-68
In Japan, elderly people are rapidly increasing and their opportunities of using hospital are also increasing. However, ... [more] IA2013-68
pp.1-6
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