{
  "$type": "site.standard.document",
  "description": "A vehicle risk model training method applied to an autonomous vehicle. The vehicle risk model training method comprises obtaining driving data from the autonomous vehicle and environmental perception data, wherein the driving data comprises actual driving data and planned driving data generated by…",
  "path": "/patents/1425094",
  "publishedAt": "2026-06-23T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "B60W60/0059",
    "HON HAI PRECISION INDUSTRY CO., LTD."
  ],
  "textContent": "A vehicle risk model training method applied to an autonomous vehicle. The vehicle risk model training method comprises obtaining driving data from the autonomous vehicle and environmental perception data, wherein the driving data comprises actual driving data and planned driving data generated by an vehicle risk model of the autonomous vehicle, setting data differences between the actual driving data and the planned driving data as a manual intervention driving data, determining a first perception data matching with the manual intervention driving data in the environmental perception data, and determining risk level information matching with the manual intervention driving data according to the first perception data, and training the vehicle risk model based on the risk level information, the first perception data, the planned driving data, and the manual intervention driving data. A vehicle device and a path planning method are also disclosed.",
  "title": "Path planning method using vehicle risk model trained on manual intervention driving data"
}