| Paper Abstract and Keywords |
| Presentation |
2021-03-05 16:30
[Invited Lecture]
A Hazardous Spot Detection Framework by Mobile Sensing and V2V Opportunistic Networks Yoshito Watanabe, Yozo Shoji (NICT) SR2020-88 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
This study proposes a framework to detect hazardous spots on roads by combining mobile sensing on commercial-use vehicles with vehicle-to-vehicle (V2V) opportunistic networking. In the proposed system, a vehicle periodically makes a tentative decision regarding the state of the road using its own sensing data by a machine learning (ML)-based technique; however, the final decision is made by applying the Viterbi algorithm. In addition, our study introduced a V2V cooperative data processing technique to achieve higher accuracy in the detection of perilous spots. Numerical simulation analyses were conducted by using the dataset of "working car project" commissioned by NICT. It was shown that the Viterbi algorithm significantly improved the accuracy of detecting hazardous spots. It was also demonstrated that the proposed V2V cooperative framework had the potential to enhance the accuracy of detecting hazardous spots for all the vehicles in a community. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Mobile sensing / Hazardous spot detection / Hidden Markov model / Viterbi algorithm / EM algorithm / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 120, no. 405, SR2020-88, pp. 91-98, March 2021. |
| Paper # |
SR2020-88 |
| Date of Issue |
2021-02-24 (SR) |
| 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 |
SR2020-88 |
| Conference Information |
| Committee |
RCS SR SRW |
| Conference Date |
2021-03-03 - 2021-03-05 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Online |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Mobile Communication Workshop |
| Paper Information |
| Registration To |
SR |
| Conference Code |
2021-03-RCS-SR-SRW |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
A Hazardous Spot Detection Framework by Mobile Sensing and V2V Opportunistic Networks |
| Sub Title (in English) |
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| Keyword(1) |
Mobile sensing |
| Keyword(2) |
Hazardous spot detection |
| Keyword(3) |
Hidden Markov model |
| Keyword(4) |
Viterbi algorithm |
| Keyword(5) |
EM algorithm |
| Keyword(6) |
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| 1st Author's Name |
Yoshito Watanabe |
| 1st Author's Affiliation |
National Institute of Information and Communications Technology (NICT) |
| 2nd Author's Name |
Yozo Shoji |
| 2nd Author's Affiliation |
National Institute of Information and Communications Technology (NICT) |
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| Speaker |
Author-1 |
| Date Time |
2021-03-05 16:30:00 |
| Presentation Time |
25 minutes |
| Registration for |
SR |
| Paper # |
SR2020-88 |
| Volume (vol) |
vol.120 |
| Number (no) |
no.405 |
| Page |
pp.91-98 |
| #Pages |
8 |
| Date of Issue |
2021-02-24 (SR) |