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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)  
Keyword(7)  
Keyword(8)  
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) 


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