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Paper Abstract and Keywords
Presentation 2022-09-16 15:20
Video bitrate control method for remote monitoring video of automatic driving vehicle
Masahiro Yokota, Kazuhisa Yamagishi (NTT) CQ2022-45
Abstract (in Japanese) (See Japanese page) 
(in English) The study of autonomous driving attracts attention because it is expected to reduce traffic accidents and congestion.
The level of autonomous driving is divided by the driving condition and system involvement level.
Remote monitoring is required for level three or higher that the system drives the vehicle independently.
Remote monitoring video is delivered to the monitoring center over a wireless network.
Then, the video quality is degraded due to the fluctuation of network quality, and the risk increases by overlooking dangerous objects.
Therefore, the video bitrate control method for detecting a dangerous object in response to a change in the network quality is required.
This study proposed a video bitrate control method for reducing risk by overlooking dangerous objects.
Concretely, the method can achieve the quality in which the observer can detect a dangerous object at least once in a period.
We evaluated our method using artificial throughput data and confirmed that, compared with existing methods, we could improve the number of times an object exceeds detectable quality.
Keyword (in Japanese) (See Japanese page) 
(in English) remote monitoring video / object detection / video bitrate control / / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 184, CQ2022-45, pp. 115-119, Sept. 2022.
Paper # CQ2022-45 
Date of Issue 2022-09-08 (CQ) 
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)
Download PDF CQ2022-45

Conference Information
Committee IA CQ MIKA  
Conference Date 2022-09-15 - 2022-09-16 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaido Citizens Actives Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Wireless Communications Quality, 6G, IoT, Cross layer Technologies, Internet Operation and Management, etc. 
Paper Information
Registration To CQ 
Conference Code 2022-09-IA-CQ-MIKA 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Video bitrate control method for remote monitoring video of automatic driving vehicle 
Sub Title (in English)  
Keyword(1) remote monitoring video  
Keyword(2) object detection  
Keyword(3) video bitrate control  
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1st Author's Name Masahiro Yokota  
1st Author's Affiliation NIPPON TELEGRAPH AND TELEPHONE CORPORATION (NTT)
2nd Author's Name Kazuhisa Yamagishi  
2nd Author's Affiliation NIPPON TELEGRAPH AND TELEPHONE CORPORATION (NTT)
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Speaker Author-1 
Date Time 2022-09-16 15:20:00 
Presentation Time 25 minutes 
Registration for CQ 
Paper # CQ2022-45 
Volume (vol) vol.122 
Number (no) no.184 
Page pp.115-119 
#Pages
Date of Issue 2022-09-08 (CQ) 


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