Paper Abstract and Keywords |
Presentation |
2017-11-10 13:00
Feature Extraction Using Empirical Mode Decomposition for Tire Sensing Keita Ishii, Takato Goto (BS), Matsui Tomoko (ISM), Gareth Peters (HW), Nourddine Azzaoui (UCA) IBISML2017-78 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
This paper describes a novel feature-extraction method for classifying road conditions by using acceleration signals that are measured using tire-mounted sensors. We acquired road data under two conditions: dry and wet. The acceleration signals are caused by the revolution of a tire on a momentary scale; therefore, frequency analysis based on Fourier transforms should not be applied to our signals. In this study, empirical mode decomposition (EMD) was employed to extract features, because the method is suitable for nonlinear and unstable data. By using the features, the calculation cost was significantly reduced and road classification was accomplished with more than 95% accuracy. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Tire / Road condition / Empirical mode decomposition / Feature extraction / Machine learning / / / |
Reference Info. |
IEICE Tech. Rep., vol. 117, no. 293, IBISML2017-78, pp. 315-320, Nov. 2017. |
Paper # |
IBISML2017-78 |
Date of Issue |
2017-11-02 (IBISML) |
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) |
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IBISML2017-78 |
Conference Information |
Committee |
IBISML |
Conference Date |
2017-11-08 - 2017-11-10 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Univ. of Tokyo |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Information-Based Induction Science Workshop (IBIS2017) |
Paper Information |
Registration To |
IBISML |
Conference Code |
2017-11-IBISML |
Language |
English (Japanese title is available) |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Feature Extraction Using Empirical Mode Decomposition for Tire Sensing |
Sub Title (in English) |
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Keyword(1) |
Tire |
Keyword(2) |
Road condition |
Keyword(3) |
Empirical mode decomposition |
Keyword(4) |
Feature extraction |
Keyword(5) |
Machine learning |
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1st Author's Name |
Keita Ishii |
1st Author's Affiliation |
Bridgestone Corporation (BS) |
2nd Author's Name |
Takato Goto |
2nd Author's Affiliation |
Bridgestone Corporation (BS) |
3rd Author's Name |
Matsui Tomoko |
3rd Author's Affiliation |
Institute of Statistical Mathematics (ISM) |
4th Author's Name |
Gareth Peters |
4th Author's Affiliation |
Heriot-Watt University (HW) |
5th Author's Name |
Nourddine Azzaoui |
5th Author's Affiliation |
Université Clermont Auvergne (UCA) |
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Speaker |
Author-1 |
Date Time |
2017-11-10 13:00:00 |
Presentation Time |
150 minutes |
Registration for |
IBISML |
Paper # |
IBISML2017-78 |
Volume (vol) |
vol.117 |
Number (no) |
no.293 |
Page |
pp.315-320 |
#Pages |
6 |
Date of Issue |
2017-11-02 (IBISML) |
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