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Paper Abstract and Keywords
Presentation 2020-11-26 17:20
[Poster Presentation] Drone Detection Accuracy for Visible Light Communication with Drone-Mounted LED and Camera
Yukito Onodera (Tokyo Univ. of Agriculture and Tech.), Hiroki Takano, Daisuke Hisano (Osaka Univ.), Yu Nakayama (Tokyo Univ. of Agriculture and Tech.) SeMI2020-31
Abstract (in Japanese) (See Japanese page) 
(in English) The technology of on-demand communication networks using drones has drawn attention. A promising application scenario is real-time monitoring of disaster areas. Visible Light Communication (VLC) using drone mounted LED lights and an image sensor of a camera is expected to be a strong option as low-cost communication. However, in the case of one-to-many communication, where a single camera receives signals from multiple drone mounted LEDs, the loss of detection accuracy due to inter-link interference is a significant issue. In this work, we propose a clarification of the constraints and a drone placement algorithm to avoid inter-link interference between VLC links. We report the results of verification by simulation and a simple demonstration experiment using actual machines.
Keyword (in Japanese) (See Japanese page) 
(in English) Drone / Visible Light Communication / VLC / Image Sensor / / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 261, SeMI2020-31, pp. 61-66, Nov. 2020.
Paper # SeMI2020-31 
Date of Issue 2020-11-19 (SeMI) 
ISSN 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 Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Drone Detection Accuracy for Visible Light Communication with Drone-Mounted LED and Camera 
Sub Title (in English)  
Keyword(1) Drone  
Keyword(2) Visible Light Communication  
Keyword(3) VLC  
Keyword(4) Image Sensor  
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1st Author's Name Yukito Onodera  
1st Author's Affiliation Tokyo University of Agriculture and Technology (Tokyo Univ. of Agriculture and Tech.)
2nd Author's Name Hiroki Takano  
2nd Author's Affiliation Osaka City University (Osaka Univ.)
3rd Author's Name Daisuke Hisano  
3rd Author's Affiliation Osaka City University (Osaka Univ.)
4th Author's Name Yu Nakayama  
4th Author's Affiliation Tokyo University of Agriculture and Technology (Tokyo Univ. of Agriculture and Tech.)
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Speaker Author-1 
Date Time 2020-11-26 17:20:00 
Presentation Time 70 minutes 
Registration for SeMI 
Paper # SeMI2020-31 
Volume (vol) vol.120 
Number (no) no.261 
Page pp.61-66 
#Pages
Date of Issue 2020-11-19 (SeMI) 


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