{
  "$type": "site.standard.document",
  "description": "A method, featuring robustness against changes in tire size, is provided for determining a road surface condition by dividing a time-series waveform of tire vibrations into windows without resorting to detection of the peak positions or measurement of the wheel speed. A time-series waveform of tire…",
  "path": "/patents/994626",
  "publishedAt": "2012-12-26T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "B60T8/172",
    "BRIDGESTONE CORP [JP]"
  ],
  "textContent": "A method, featuring robustness against changes in tire size, is provided for determining a road surface condition by dividing a time-series waveform of tire vibrations into windows without resorting to detection of the peak positions or measurement of the wheel speed. A time-series waveform of tire vibrations detected by a tire vibration detecting unit is windowed by a windowing unit. Time-series waveforms are extracted from the respective time windows, feature vectors X are calculated therefor, and then likelihoods Z for road-surface HMMs (hidden Markov models) are calculated. The likelihoods Z1 to Z5 calculated for the respective road-surface HMMs are compared with one another, and a road surface condition corresponding to the road-surface HMM showing the highest likelihood is determined to be the condition of the road surface on which the tire is running.",
  "title": "Method and apparatus for determining road surface condition"
}