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 |
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) |
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SeMI2020-36 |
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) |
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smart monitoring |
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LIDAR sensor |
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bandwidth allocation |
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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 |
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Kyoto University (KU) |
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Speaker |
Author-1 |
Date Time |
2020-11-27 09:20:00 |
Presentation Time |
20 minutes |
Registration for |
SeMI |
Paper # |
SeMI2020-36 |
Volume (vol) |
vol.120 |
Number (no) |
no.261 |
Page |
pp.82-87 |
#Pages |
6 |
Date of Issue |
2020-11-19 (SeMI) |
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