| Presentation | 2009-01-30 Automatic Detection of Road Surface Conditions using Tire Noise from Vehicles Wuttiwat KONGRATTANAPRASERT, Hideyuki NOMURA, Tomoo KAMAKURA, Koji UEDA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(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) |
| Keyword(in English) | Road surface conditions / Automobile tire sounds / Frequency analysis / Artificial neural network / Intelligent transportation system |
| Paper # | EA2008-125 |
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| Conference Information | |
| Committee | EA |
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| Conference Date | 2009/1/22(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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| Paper Information | |
| Registration To | Engineering Acoustics (EA) |
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| Language | ENG |
| 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 |
| 1st Author's Name | Wuttiwat KONGRATTANAPRASERT |
| 1st Author's Affiliation | The University of Electro-Communications() |
| 2nd Author's Name | Hideyuki NOMURA |
| 2nd Author's Affiliation | The University of Electro-Communications |
| 3rd Author's Name | Tomoo KAMAKURA |
| 3rd Author's Affiliation | The University of Electro-Communications |
| 4th Author's Name | Koji UEDA |
| 4th Author's Affiliation | Nagoya Electric Works Co., LTD |
| Date | 2009-01-30 |
| Paper # | EA2008-125 |
| Volume (vol) | vol.108 |
| Number (no) | 411 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |