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| Presentation | 2009-01-30 10:10 Automatic Detection of Road Surface Conditions using Tire Noise from Vehicles Wuttiwat Kongrattanaprasert, Hideyuki Nomura, Tomoo Kamakura (Univ. of Electro-Comm.), Koji Ueda (Nagoya Electric)  EA2008-125 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | This paper proposes a new method for automatically detecting the states of the road surface from tire noises of vehicles. The methods are based on a Fast Fourier Transform analysis, an artificial neural network, and the mathematical theory of evidence. The proposed classification is carried out in sets of multiple neural networks using the learning vector quantization networks. The outcomes of the networks are then integrated using the voting decision making scheme. It seems then feasible to detect passively and readily the states of the surface: i.e., as a rule of thumb, dry, wet, snowy and slushy state, automatically. Preliminary classification results for an independent validation set yielded 81.6% correct classification. This was improved to 91% by addition of information about the early state in a final decision. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Road surface conditions / Automobile tire sounds / Frequency analysis / Artificial neural network / Intelligent transportation system / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 108, no. 411, EA2008-125, pp. 55-60, Jan. 2009. | |
| Paper # | EA2008-125 | |
| Date of Issue | 2009-01-22 (EA) | |
| 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 | EA2008-125 |
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| Conference Information | |
| Committee | EA US |
| Conference Date | 2009-01-29 - 2009-01-30 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | EA |
| Conference Code | 2009-01-EA-US |
| Language | English (Japanese title is available) |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Automatic Detection of Road Surface Conditions using Tire Noise from Vehicles |
| Sub Title (in English) | |
| Keyword(1) | Road surface conditions |
| Keyword(2) | Automobile tire sounds |
| Keyword(3) | Frequency analysis |
| Keyword(4) | Artificial neural network |
| Keyword(5) | Intelligent transportation system |
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| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Wuttiwat Kongrattanaprasert |
| 1st Author's Affiliation | The University of Electro-Communications (Univ. of Electro-Comm.) |
| 2nd Author's Name | Hideyuki Nomura |
| 2nd Author's Affiliation | The University of Electro-Communications (Univ. of Electro-Comm.) |
| 3rd Author's Name | Tomoo Kamakura |
| 3rd Author's Affiliation | The University of Electro-Communications (Univ. of Electro-Comm.) |
| 4th Author's Name | Koji Ueda |
| 4th Author's Affiliation | Nagoya Electric Works Co.,LTD (Nagoya Electric) |
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| Speaker | Author-1 |
| Date Time | 2009-01-30 10:10:00 |
| Presentation Time | 25 minutes |
| Registration for | EA |
| Paper # | EA2008-125 |
| Volume (vol) | vol.108 |
| Number (no) | no.411 |
| Page | pp.55-60 |
| #Pages | 6 |
| Date of Issue | 2009-01-22 (EA) |
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