IEICE Technical Committee Submission System
Conference Schedule
Online Proceedings
[Sign in]
Tech. Rep. Archives
    [Japanese] / [English] 
( Committee/Place/Topics  ) --Press->
 
( Paper Keywords:  /  Column:Title Auth. Affi. Abst. Keyword ) --Press->

All Technical Committee Conferences  (Searched in: All Years)

Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 22  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
IA 2023-09-22
12:45
Hokkaido Hokkaido Univeristy
(Primary: On-site, Secondary: Online)
Development and Evaluation of 3D Spatial Sharing System by Sensor Fusion of LiDAR and RGB Camera
Mana Nishigaki, Hiroshi Yamamoto (Ritsumeikan Univ.), Hideaki Miyaji (Ritsumeikan University) IA2023-25
With the recent spread of COVID-19, online communication methods are attracting attention. However, the existing methods... [more] IA2023-25
pp.89-94
PRMU, IBISML, IPSJ-CVIM [detail] 2023-03-03
10:35
Hokkaido Future University Hakodate
(Primary: On-site, Secondary: Online)
A Basic Study on Automated Camera Selection for Vehicle Localization using Scene Recognition Features
Haruya Kyutoku (Aichi Univ. of Tech./Toyota Tech. Inst.), Tokihiko Akita, Seiichi Mita (Toyota Tech. Inst.) PRMU2022-108 IBISML2022-115
The ego-vehicle localization using in-vehicle cameras based on database matching requires sufficient information from bo... [more] PRMU2022-108 IBISML2022-115
pp.260-265
IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] 2022-02-22
10:30
Online Online Interpolation Method for Sparse Point Cloud at Long-range Using Virtual RGB-D with LiDAR and Camera
Mai Saito, Shuncong Shen, Toshio Ito (SIT) ITS2021-41 IE2021-50
LiDAR plays an important role in the external recognition due to its high spatial resolution for automated driving syste... [more] ITS2021-41 IE2021-50
pp.97-102
PRMU, IPSJ-CVIM 2019-05-30
11:20
Tokyo   A Preliminary Study on Integrating Camera and LiDAR Pedestrian Detections Adaptive to Surrounding Environmental Conditions
Haruya Kyutoku, Yasutomo Kawanishi, Daisuke Deguchi, Ichiro Ide (Nagoya Univ.), Kazuki Kato (DENSO CORPORATION), Hiroshi Murase (Nagoya Univ.) PRMU2019-6
Results of pedestrian detectors from in-vehicle sensors still have room for improvement in real environments.
Therefore... [more]
PRMU2019-6
pp.31-36
ITS, WBS, RCC 2017-12-15
14:55
Okinawa Tiruru/Okinawa Jichikaikan Empirical Study on Dynamic Digital Map Using Multiple Sensors
Yuta Akiyoshi, Kazuaki Shimoda, Shogo Kozaki, Hiumi Tomokiyo, Kazuki Yamanaka, Keiji Jimi (Univ. of Kitakyushu), Isamu Matsunami (Kitakyushu Univ.) WBS2017-81 ITS2017-58 RCC2017-97
In order to realize autonomous car, it is necessary to improve the accuracy of "target recognition" technology and dynam... [more] WBS2017-81 ITS2017-58 RCC2017-97
pp.263-268
SANE 2017-05-22
13:15
Tokyo Kikai-Shinko-Kaikan Bldg. Bias Estimation for Decentralized Sensor Fusion -- Multi-Agent Based Bias Estimation Method --
Hidetoshi Furukawa (Toshiba) SANE2017-7
In multi-sensor data fusion (or sensor fusion), sensor biases (or offsets) often affect the accuracy of the correlation ... [more] SANE2017-7
pp.35-40
SANE 2017-01-26
11:20
Nagasaki Nagasaki Prefectural Art Museum Studies on Combining Multiple Received Signals of Radar to Detect by Beat Frequency
Hideyuki Awazu, Yasunori Kato, Ryuhei Takahashi, Toru Takahashi, Hirohisa Tasaki (Mitsubishi Electric) SANE2016-98
Detection distance of radar depends on radar transmission power, radar receiver sensitivity, and RCS of target. In this ... [more] SANE2016-98
pp.13-18
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
PRMU, BioX 2016-03-24
10:30
Tokyo   Sensor Fusion Algorithm with Radar and Camera for Fast Target Recognition Using HOG and Machine Learning
Yohei Oishi, Isamu Matsunami, Yasushi Yamazaki (Univ. of Kitakyu) BioX2015-45 PRMU2015-168
Advanced Driver Assistance Systems (ADAS) are systems to help the driver in the driving process. ADAS relies on inputs f... [more] BioX2015-45 PRMU2015-168
pp.25-30
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
WBS, ITS
(Joint)
2014-12-18
12:30
Kumamoto Kumamoto University [Poster Presentation] Study of Improvement of Accuracy to Estimate Position for Bicycle by Senser Fusion
Yuki Iwasaki, Kaichi Fujimura, Seiichiro Hangai (Tokyo Univ. of Science) ITS2014-25
In this paper, the sake of building safety driving support system of a bicycle, we examine improvement of accuracy to es... [more] ITS2014-25
pp.31-36
MVE, ITE-HI, HI-SIG-VR 2014-07-02
10:30
Tokyo   Smartphone-based interface using distance from public display
Tokuo Yamaguchi, Hiroyuki Fukushima, Shigeru Tatsuzawa, Masato Nonaka (OKI) MVE2014-25
There are many displays including for digital signage in public spaces such as stations, airport terminals, and bank off... [more] MVE2014-25
pp.81-84
PRMU, CNR 2014-02-14
10:00
Fukuoka   Reproducing the Handwriting Trajectory for Electric Pen Device by Sensor Fusion Technology
Wataru Saitou (Toba NCMT), Kazufumi Nakai (Shizuoka Univ.), Yukishige Izue, Nobuo Ezaki (Toba NCMT) PRMU2013-157 CNR2013-65
The current handwriting inputting devices are restricted, such as requiring dedicated pen and paper, or having a limited... [more] PRMU2013-157 CNR2013-65
pp.141-146
ITS 2013-05-31
13:50
Kanagawa Kanto Gakuin Univ. Development of the sensor fusion algorithm for measuring road geometry -- Application of Kalman Filter to smart phone sensors --
Takayoshi Yokota (Tottori Univ.) ITS2013-3
MEMS Sensors embedded in smart phones together with a GPS receiver are used to estimate 3-D road geometry based on Kalma... [more] ITS2013-3
pp.13-18
ASN, IPSJ-UBI 2013-05-16
10:50
Kumamoto Kumamoto University Position and Orientation Estimation of an Acceleration and Angular-Velocity Sensor with Help of Human Pose Information
Yasutaka Shindo, Shingo Kagami, Koichi Hashimoto (Tohoku Univ.) ASN2013-4
We have been developing methods of identifying and tracking a person with an accelerometer of interest in a camera view.... [more] ASN2013-4
pp.19-24
MVE, IE, WIT, IMQ, CQ
(Joint) [detail]
2013-03-11
15:00
Fukuoka Fukuoka Institute of Technology Evaluation of measurement precision on foot position when using our shoe-type measurement device
Daisuke Takigawa (Kyusyu Inst. of Tech.), Futoshi Wada, Kenji Hachisuka (Univ. of Occupational and Environmental Health), Chikamune Wada (Kyusyu Inst. of Tech.) IMQ2012-64 IE2012-168 MVE2012-125 WIT2012-74
We have been developing a foot position measurement system that could estimate foot position while walking for walking r... [more] IMQ2012-64 IE2012-168 MVE2012-125 WIT2012-74
pp.169-174
MVE, ITE-HI, HI-SIG-VR 2012-06-26
14:05
Tokyo Sanjo Conference Hall A Proposal of Device Pairing using Embedded Sensors of Mobile Devices and Cameras
Tokuo Yamaguchi, Shigeru Tatsuzawa, Masato Nonaka (OKI) MVE2012-14
There are many displays including for digital signage in public spaces such as bank offices or airport terminals nowaday... [more] MVE2012-14
pp.29-33
USN, IPSJ-UBI 2010-07-15
16:10
Ibaraki Tsukuba Univ. Investigation on Speeding Up of Accelerometer Detection in a Video Sequence
Yuichi Maki, Shingo Kagami, Koichi Hashimoto (Tohoku Univ.) USN2010-15
We have been working on detecting an object with an accelerometer from
many moving objects in a camera view. The previ... [more]
USN2010-15
pp.91-95
PRMU 2009-06-18
16:15
Hokkaido Hokkaido Univ. [Special Talk] Visual Environment Recognition for Robots
Jun Miura (Toyohashi Univ. of Tech.) PRMU2009-48
Autonomous robots have to recognize their surrounding environments.
Vision is one of the suitable means for environmn... [more]
PRMU2009-48
pp.49-54
SIS, SIP, IPSJ-AVM 2008-09-25
15:25
Fukuoka Tobata Campus, Kyushu Institute of Technology Resource Oriented Architecture for Visual Sensor Networks
Hiroshi Iwatani, Masayuki Nakatsuka, Yutaro Takayanagi, Jiro Katto (Waseda Univ.)
Sensor Network has been a hot research topic for the past decade and has moved its’ phase into using multimedia sensors ... [more] SIP2008-93 SIS2008-28
pp.21-26
 Results 1 - 20 of 22  /  [Next]  
Choose a download format for default settings. [NEW !!]
Text format pLaTeX format CSV format BibTeX format
Copyright and reproduction : All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)


[Return to Top Page]

[Return to IEICE Web Page]


The Institute of Electronics, Information and Communication Engineers (IEICE), Japan