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Paper Abstract and Keywords
Presentation 2024-10-11 14:50
A Study on Analyzing Spatial Features for Real-time Importance Estimation in 3D Point Cloud
Junya Sato, Yuki Umemoto, Takumi Miyoshi, Taku Yamazaki, Ryoichi Shinkuma (SIT) NS2024-118
Abstract (in Japanese) (See Japanese page) 
(in English) For future smart cities, it is anticipated that city services will be provided continuously, comprehensively, and in real-time through urban digital twins.
To achieve these digital twin-based services, city-scale point cloud data is expected to be collected and utilized for various AI tasks. However, the use of such large-scale point cloud data for AI tasks incurs significant communication and computational costs for data processing. To address this challenge, several methods have been proposed to estimate the importance of different parts within a point cloud frame which contribute to an AI task. If importance estimations are effectively performed in real-time, the consumption of communication and computational resources can be optimized by prioritizing important areas and eliminating less significant ones. Therefore, we propose a real-time importance estimation method based on the difference in spatial features between frames and investigate the appropriate spatial features for the estimation. The proposed method quantitatively estimates the importance for each voxel based on the difference in a spatial feature between past and current frames. In addition, we conduct experiments using an actual device and analyze both the estimation results and real-time performances when applying various spatial features with the proposed method.
Keyword (in Japanese) (See Japanese page) 
(in English) Importance estimation / 3D point cloud / Spatial feature / LiDAR / Real-time / / /  
Reference Info. IEICE Tech. Rep., vol. 124, no. 197, NS2024-118, pp. 118-118, Oct. 2024.
Paper # NS2024-118 
Date of Issue 2024-10-02 (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 NS2024-118

Conference Information
Committee NS  
Conference Date 2024-10-09 - 2024-10-11 
Place (in Japanese) (See Japanese page) 
Place (in English) Tokushima University + Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Network architecture (5G, Local 5G, Beyond5G, Mobile networks, Ad-hoc and sensor networks, Overlay and P2P networks, Programmable networks, SDN/NFV, IoT, Network slicing), Next generation packet transport (High speed Ethernet, IP over WDM, Multi-service package technology, MPLS), Grid, etc. 
Paper Information
Registration To NS 
Conference Code 2024-10-NS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Analyzing Spatial Features for Real-time Importance Estimation in 3D Point Cloud 
Sub Title (in English)  
Keyword(1) Importance estimation  
Keyword(2) 3D point cloud  
Keyword(3) Spatial feature  
Keyword(4) LiDAR  
Keyword(5) Real-time  
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Keyword(7)  
Keyword(8)  
1st Author's Name Junya Sato  
1st Author's Affiliation Shibaura Institute of Technology (SIT)
2nd Author's Name Yuki Umemoto  
2nd Author's Affiliation Shibaura Institute of Technology (SIT)
3rd Author's Name Takumi Miyoshi  
3rd Author's Affiliation Shibaura Institute of Technology (SIT)
4th Author's Name Taku Yamazaki  
4th Author's Affiliation Shibaura Institute of Technology (SIT)
5th Author's Name Ryoichi Shinkuma  
5th Author's Affiliation Shibaura Institute of Technology (SIT)
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Speaker Author-1 
Date Time 2024-10-11 14:50:00 
Presentation Time 25 minutes 
Registration for NS 
Paper # NS2024-118 
Volume (vol) vol.124 
Number (no) no.197 
Page p.118 
#Pages 1 
Date of Issue 2024-10-02 (NS) 

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