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Paper Abstract and Keywords
Presentation 2019-08-27 13:50
Autonomous Driving Vehicle Control using Session Handover
Goki Yamamoto, Masaki Murakami, Satoru Okamoto, Naoaki Yamanaka (Keio Univ.) PN2019-21
Abstract (in Japanese) (See Japanese page) 
(in English) In a stand-alone autonomous driving vehicle, the vehicle travels by sensing its surroundings only with its own sensor. For this reason, there are problems such as a vehicle on a local road that cannot join for a long time depending on the movement of other vehicles on the highway. Therefore, a "Network Assisted Autonomous Driving Vehicle Platform" has been proposed, which enables information collection in a vehicle that cannot be sensed, and coordinated control with other vehicles. This platform uses the idea of Multi-access Edge Computing (MEC) to ensure a high quality of service (QoS). It enables low-latency service provision by using edge computers close to the vehicle. Edge computer is considered to be essential for autonomous driving that requires real-time processing, but there is a problem that the closest edge changes as the vehicle moves. In this method, agent migration is performed by using a virtual machine (VM) or a lightweight container for the agent application. As a result, redundant data other than the information necessary for autonomous operation is also exchanged, and there is a problem that traffic is wasted. In this research, we hand over the session between the agent and the vehicle to the next edge agent to be connected and reduce the traffic volume by exchanging only the necessary information. The time required for the handover was measured throughout this study. Through this research, by measuring the time required for the session handover, the information of “points” installed every 20 cm, which is the route data required for automatic operation, to the vehicle running When transmitting at 1 second intervals, it was clarified that it is necessary to transmit 14 points at a time. We also confirmed that the traffic volume can be reduced more than VM migration type agent migration by measuring the traffic volume.
Keyword (in Japanese) (See Japanese page) 
(in English) Autonomous Driving Vehicle / Multi-access Edge Computing (MEC) / Session Handover / / / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 180, PN2019-21, pp. 73-79, Aug. 2019.
Paper # PN2019-21 
Date of Issue 2019-08-19 (PN) 
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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Conference Information
Committee PN  
Conference Date 2019-08-26 - 2019-08-27 
Place (in Japanese) (See Japanese page) 
Place (in English) Kanpo-No-Yado Otaru 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Photonic network technologies, etc. 
Paper Information
Registration To PN 
Conference Code 2019-08-PN 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Autonomous Driving Vehicle Control using Session Handover 
Sub Title (in English)  
Keyword(1) Autonomous Driving Vehicle  
Keyword(2) Multi-access Edge Computing (MEC)  
Keyword(3) Session Handover  
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1st Author's Name Goki Yamamoto  
1st Author's Affiliation Keio University (Keio Univ.)
2nd Author's Name Masaki Murakami  
2nd Author's Affiliation Keio University (Keio Univ.)
3rd Author's Name Satoru Okamoto  
3rd Author's Affiliation Keio University (Keio Univ.)
4th Author's Name Naoaki Yamanaka  
4th Author's Affiliation Keio University (Keio Univ.)
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Speaker Author-1 
Date Time 2019-08-27 13:50:00 
Presentation Time 25 minutes 
Registration for PN 
Paper # PN2019-21 
Volume (vol) vol.119 
Number (no) no.180 
Page pp.73-79 
#Pages
Date of Issue 2019-08-19 (PN) 


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