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Paper Abstract and Keywords
Presentation 2019-11-05 11:10
User behavior analysis for danger notification from vehicle to pedestrian
Kyoko Yamori (Asahi Univ.), Iwai Takanori, Dai Kanetomo, Kozo Satoda (System platform Research Labs, NEC Corporation), Yoshiaki Tanaka (Waseda Univ.) SeMI2019-66
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, research on autonomous driving has been progressing, especially research that considers the safety of pedestrians. It is important to have a mechanism in which an autonomous vehicle detects a pedestrian, detects a danger, and automatically stops. However, it is difficult to accurately predict the movement of pedestrians. If safety-oriented control is used, the autonomous driving vehicles will not be able to start in an area where there are many pedestrians. In this paper, we propose a service in which pedestrians and autonomous driving vehicles cooperate. We consider a system that aggregates information on autonomous vehicles and notifies pedestrians of approaching vehicles. By alerting pedestrians to near miss information, the pedestrian will be able to reduce dangerous acts such as jumping out.
Keyword (in Japanese) (See Japanese page) 
(in English) Pedestrian / Co-created quality / Autonomous driving / Mobility management / Danger notification / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 266, SeMI2019-66, pp. 23-26, Nov. 2019.
Paper # SeMI2019-66 
Date of Issue 2019-10-29 (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)
Download PDF SeMI2019-66

Conference Information
Committee SRW SeMI CNR  
Conference Date 2019-11-05 - 2019-11-06 
Place (in Japanese) (See Japanese page) 
Place (in English) Kozo Keisaku Engineering Inc. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) IoT Workshop (Oral or Poster presentation) 
Paper Information
Registration To SeMI 
Conference Code 2019-11-SRW-SeMI-CNR 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) User behavior analysis for danger notification from vehicle to pedestrian 
Sub Title (in English)  
Keyword(1) Pedestrian  
Keyword(2) Co-created quality  
Keyword(3) Autonomous driving  
Keyword(4) Mobility management  
Keyword(5) Danger notification  
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Keyword(8)  
1st Author's Name Kyoko Yamori  
1st Author's Affiliation Asahi University (Asahi Univ.)
2nd Author's Name Iwai Takanori  
2nd Author's Affiliation System platform Research Labs, NEC Corporation (System platform Research Labs, NEC Corporation)
3rd Author's Name Dai Kanetomo  
3rd Author's Affiliation System platform Research Labs, NEC Corporation (System platform Research Labs, NEC Corporation)
4th Author's Name Kozo Satoda  
4th Author's Affiliation System platform Research Labs, NEC Corporation (System platform Research Labs, NEC Corporation)
5th Author's Name Yoshiaki Tanaka  
5th Author's Affiliation Waseda University (Waseda Univ.)
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Speaker Author-1 
Date Time 2019-11-05 11:10:00 
Presentation Time 25 minutes 
Registration for SeMI 
Paper # SeMI2019-66 
Volume (vol) vol.119 
Number (no) no.266 
Page pp.23-26 
#Pages 4 
Date of Issue 2019-10-29 (SeMI) 

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