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| Presentation | 2014-05-29 14:30 [Poster Presentation] A Machine Learning Approach of Detecting Electric Vehicles Using a Smartphone Masaru Takagi, Kosuke Fujimoto, Yoshihiro Kawahara, Tohru Asami (Univ. of Tokyo)  ASN2014-20 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Hybrid vehicles (HVs) and electric vehicles (EVs) are hard to be noticed by pedestrians because of their quietness. We have been proposing the vehicle detection scheme using a smartphone and some wearable devices such as a Google Glass. In this paper, we propose a machine learning approach using a high frequency noise generated by a motor unit for a clue to guess the vehicle speed and vehicle type robustly. When we used J48 classifier for the recognition, the scheme can detect EVs and HVs with 92% and 82% accuracy. It can also distinguish the vehicle speed and vehicle types according to our evaluation. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Hybrid Vehicle / HV / Electric Vehicle / EV / Smartphone / Sensing / Machine Learning / | |
| Reference Info. | IEICE Tech. Rep., vol. 114, no. 65, ASN2014-20, pp. 67-68, May 2014. | |
| Paper # | ASN2014-20 | |
| Date of Issue | 2014-05-22 (ASN) | |
| ISSN | Print edition: ISSN 0913-5685 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 | ASN2014-20 |
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| Conference Information | |
| Committee | ASN |
| Conference Date | 2014-05-29 - 2014-05-30 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Convention Hall, RCAST, The University of Tokyo |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | ASN |
| Conference Code | 2014-05-ASN |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Machine Learning Approach of Detecting Electric Vehicles Using a Smartphone |
| Sub Title (in English) | |
| Keyword(1) | Hybrid Vehicle |
| Keyword(2) | HV |
| Keyword(3) | Electric Vehicle |
| Keyword(4) | EV |
| Keyword(5) | Smartphone |
| Keyword(6) | Sensing |
| Keyword(7) | Machine Learning |
| Keyword(8) | |
| 1st Author's Name | Masaru Takagi |
| 1st Author's Affiliation | The University of Tokyo (Univ. of Tokyo) |
| 2nd Author's Name | Kosuke Fujimoto |
| 2nd Author's Affiliation | The University of Tokyo (Univ. of Tokyo) |
| 3rd Author's Name | Yoshihiro Kawahara |
| 3rd Author's Affiliation | The University of Tokyo (Univ. of Tokyo) |
| 4th Author's Name | Tohru Asami |
| 4th Author's Affiliation | The University of Tokyo (Univ. of Tokyo) |
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| Speaker | Author-1 |
| Date Time | 2014-05-29 14:30:00 |
| Presentation Time | 60 minutes |
| Registration for | ASN |
| Paper # | ASN2014-20 |
| Volume (vol) | vol.114 |
| Number (no) | no.65 |
| Page | pp.67-68 |
| #Pages | 2 |
| Date of Issue | 2014-05-22 (ASN) |
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