| Paper Abstract and Keywords |
| Presentation |
2025-01-24 16:20
[Encouragement Talk]
Point Cloud Data Collection and Analysis through 3D Mobile Crowdsensing System Kaito Watanabe, Takumi Miyoshi, Taku Yamazaki (SIT) NS2024-193 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
The utilization of digital twins is anticipated to realize smart cities that address various urban challenges by leveraging information and communication technology. However, constructing and maintaining digital twins require large amounts of spatial information using light detection and ranging (LiDAR). Against this background, mobile crowdsensing can sustainably update urban spatial digital twins by collecting spatial information through mobile devices of users. Previously, although various mobile crowdsensing methods have been studied for collecting spatial information, users often face time and behavioral constraints because they must follow instructions provided by the system. In this paper, we propose a 3D mobile crowdsensing system designed to collect spatial information without restricting daily activities of users. Furthermore, we conduct point cloud data collection experiments using the proposed system and verify its effectiveness through an analysis of the collected point cloud data. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Smart city / Digital twin / Mobile crowdsensing / LiDAR / Point cloud / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 124, no. 344, NS2024-193, pp. 132-135, Jan. 2025. |
| Paper # |
NS2024-193 |
| Date of Issue |
2025-01-16 (NS) |
| ISSN |
Online edition: ISSN 2432-6380 |
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) |
| Download PDF |
NS2024-193 |
| Conference Information |
| Committee |
NS NWS |
| Conference Date |
2025-01-23 - 2025-01-24 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Higashi-Yodogawa Community Center + Online |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Network software (Software architecture, Middleware), Network application, SOA/SDP, NGN/IMS/API, Distributed control/Dynamic routing, Grid, NFV, IoT, Network/System reliability, Network/System evaluation, etc. |
| Paper Information |
| Registration To |
NS |
| Conference Code |
2025-01-NS-NWS |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Point Cloud Data Collection and Analysis through 3D Mobile Crowdsensing System |
| Sub Title (in English) |
|
| Keyword(1) |
Smart city |
| Keyword(2) |
Digital twin |
| Keyword(3) |
Mobile crowdsensing |
| Keyword(4) |
LiDAR |
| Keyword(5) |
Point cloud |
| Keyword(6) |
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| Keyword(7) |
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| Keyword(8) |
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| 1st Author's Name |
Kaito Watanabe |
| 1st Author's Affiliation |
Shibaura Institute of Technology (SIT) |
| 2nd Author's Name |
Takumi Miyoshi |
| 2nd Author's Affiliation |
Shibaura Institute of Technology (SIT) |
| 3rd Author's Name |
Taku Yamazaki |
| 3rd Author's Affiliation |
Shibaura Institute of Technology (SIT) |
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| Speaker |
Author-1 |
| Date Time |
2025-01-24 16:20:00 |
| Presentation Time |
25 minutes |
| Registration for |
NS |
| Paper # |
NS2024-193 |
| Volume (vol) |
vol.124 |
| Number (no) |
no.344 |
| Page |
pp.132-135 |
| #Pages |
4 |
| Date of Issue |
2025-01-16 (NS) |