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Paper Abstract and Keywords
Presentation 2022-12-14 11:05
Vehicle Route Detection Network Using Continuous Roadside Units
Gunhee Cho, Tao Yu, Jin Nakazato, Kei Sakaguchi (TokyoTech) WBS2022-55 ITS2022-31 RCC2022-55
Abstract (in Japanese) (See Japanese page) 
(in English) For the purpose of establishing a digital twin society, this paper proposes an object recognition network architecture using high-definition (HD) camera images.HD camera is installed to the edge computing resource in Road-Side Unit (RSU).The edge computing resource detects vehicles by object detection and Re-ID function based on deep learning. Its key feature is to reduce the amount of network data traffic by extracting vehicle images and directly transferring them to neighboring RSUs, i.e. vehicle identification and tracking can be achieved in the localized backhaul network. This paper experimentally verifies its fundamental feasibility using outdoor testbed field. The proposed framework can significantly reduce the data traffic by more than 90% while maintaining vehicle Re-ID accuracy.
Keyword (in Japanese) (See Japanese page) 
(in English) V2X / Image Processing / Re-Identification of Vehicle / Traffic Reduction / Edge Computing / ITS / RSU / Proof-of-Concept  
Reference Info. IEICE Tech. Rep., vol. 122, no. 308, ITS2022-31, pp. 114-119, Dec. 2022.
Paper # ITS2022-31 
Date of Issue 2022-12-06 (WBS, ITS, RCC) 
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 WBS2022-55 ITS2022-31 RCC2022-55

Conference Information
Committee RCC ITS WBS  
Conference Date 2022-12-13 - 2022-12-14 
Place (in Japanese) (See Japanese page) 
Place (in English) Ritsumeikan Univ. BKC 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To ITS 
Conference Code 2022-12-RCC-ITS-WBS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Vehicle Route Detection Network Using Continuous Roadside Units 
Sub Title (in English)  
Keyword(1) V2X  
Keyword(2) Image Processing  
Keyword(3) Re-Identification of Vehicle  
Keyword(4) Traffic Reduction  
Keyword(5) Edge Computing  
Keyword(6) ITS  
Keyword(7) RSU  
Keyword(8) Proof-of-Concept  
1st Author's Name Gunhee Cho  
1st Author's Affiliation Tokyo Institute of Technology (TokyoTech)
2nd Author's Name Tao Yu  
2nd Author's Affiliation Tokyo Institute of Technology (TokyoTech)
3rd Author's Name Jin Nakazato  
3rd Author's Affiliation Tokyo Institute of Technology (TokyoTech)
4th Author's Name Kei Sakaguchi  
4th Author's Affiliation Tokyo Institute of Technology (TokyoTech)
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Speaker Author-1 
Date Time 2022-12-14 11:05:00 
Presentation Time 25 minutes 
Registration for ITS 
Paper # WBS2022-55, ITS2022-31, RCC2022-55 
Volume (vol) vol.122 
Number (no) no.307(WBS), no.308(ITS), no.309(RCC) 
Page pp.114-119 
#Pages 6 
Date of Issue 2022-12-06 (WBS, ITS, RCC) 

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