自動車のタイヤ騒音を用いた路面状況の自動検出 Automatic Detection of Road Surface Conditions using Tire Noise from Vehicles

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抄録

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.

収録刊行物

  • 電子情報通信学会技術研究報告. EA, 応用音響

    電子情報通信学会技術研究報告. EA, 応用音響 108(411), 55-60, 2009-01-22

    一般社団法人電子情報通信学会

参考文献:  7件中 1-7件 を表示

各種コード

  • NII論文ID(NAID)
    110007131924
  • NII書誌ID(NCID)
    AN10164817
  • 本文言語コード
    ENG
  • 資料種別
    ART
  • ISSN
    09135685
  • NDL 記事登録ID
    9794941
  • NDL 雑誌分類
    ZN33(科学技術--電気工学・電気機械工業--電子工学・電気通信)
  • NDL 請求記号
    Z16-940
  • データ提供元
    CJP書誌  NDL  NII-ELS 
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