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Paper Abstract and Keywords
Presentation 2020-11-27 09:20
Bandwidth allocation for multiple LIDAR sensors based on spatial importance of point-cloud data
Ryo Otsu, Ryoichi Shinkuma, Takehiro sato, Eiji Oki (KU) SeMI2020-36
Abstract (in Japanese) (See Japanese page) 
(in English) This paper addresses the bandwidth allocation to multiple Light Detection and Ranging (LIDAR) sensors in smart monitoring, which shares a limited communication capacity to transmit a large volume of point cloud data from the sensors to the edge server in real time. To tackle the capacity limitation of communication channel, this paper proposes a bandwidth allocation scheme that assigns multiple point cloud compression formats to each LIDAR sensor in accordance with the spatial importance of the point cloud data transmitted by the LIDAR sensor. The spatial importance is determined by estimating how likely objects such as cars, trucks, bikes, and pedestrians exist because regions where objects exist more likely are more beneficial for smart monitoring. Numerical study using a real point cloud dataset obtained at an intersection presents the distributions of data volume among LIDAR sensors and the quality of point cloud data received by the edge server and validates the proposed bandwidth allocation scheme against a benchmark scheme.
Keyword (in Japanese) (See Japanese page) 
(in English) smart monitoring / LIDAR sensor / bandwidth allocation / point cloud compression / / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 261, SeMI2020-36, pp. 82-87, Nov. 2020.
Paper # SeMI2020-36 
Date of Issue 2020-11-19 (SeMI) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
Copyright
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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)
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Conference Information
Committee SRW SeMI CNR  
Conference Date 2020-11-26 - 2020-11-27 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) IoT Workshop 
Paper Information
Registration To SeMI 
Conference Code 2020-11-SRW-SeMI-CNR 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Bandwidth allocation for multiple LIDAR sensors based on spatial importance of point-cloud data 
Sub Title (in English)  
Keyword(1) smart monitoring  
Keyword(2) LIDAR sensor  
Keyword(3) bandwidth allocation  
Keyword(4) point cloud compression  
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1st Author's Name Ryo Otsu  
1st Author's Affiliation Kyoto University (KU)
2nd Author's Name Ryoichi Shinkuma  
2nd Author's Affiliation Kyoto University (KU)
3rd Author's Name Takehiro sato  
3rd Author's Affiliation Kyoto University (KU)
4th Author's Name Eiji Oki  
4th Author's Affiliation Kyoto University (KU)
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Speaker
Date Time 2020-11-27 09:20:00 
Presentation Time 20 
Registration for SeMI 
Paper # IEICE-SeMI2020-36 
Volume (vol) IEICE-120 
Number (no) no.261 
Page pp.82-87 
#Pages IEICE-6 
Date of Issue IEICE-SeMI-2020-11-19 


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