{
  "$type": "site.standard.document",
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  "description": "The present disclosure provides a vehicle status prediction system and method. The vehicle status prediction method is adapted to a vehicle installed with at least one sensor, and the method, performed by a processing device, includes: obtaining at least one set of raw driving data from the at…",
  "path": "/patents/1423374",
  "publishedAt": "2026-06-18T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "G07C5/08",
    "INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE"
  ],
  "textContent": "The present disclosure provides a vehicle status prediction system and method. The vehicle status prediction method is adapted to a vehicle installed with at least one sensor, and the method, performed by a processing device, includes: obtaining at least one set of raw driving data from the at least one sensor, extracting at least one target sub-data set from the at least one set of raw driving data based on observation indicators, clustering the at least one target sub-data set to generate a cluster label, and using a pre-trained model according to the cluster label to predict the at least one set of raw driving data to generate a vehicle status prediction result.",
  "title": "VEHICLE STATUS PREDICTION SYSTEM AND METHOD"
}