{
  "$type": "site.standard.document",
  "description": "An automatic driving method includes following steps: S: acquiring real-time traffic environment information in a travel process of an autonomous vehicle at a current moment; S: mapping the real-time traffic environment information based on a preset mapping relationship to obtain mapped traffic…",
  "path": "/patents/1354600",
  "publishedAt": "2023-11-16T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "B60W60/0027",
    "INSPUR (BEIJING) ELECTRONIC INFORMATION INDUSTRY CO., LTD."
  ],
  "textContent": "An automatic driving method includes following steps: S: acquiring real-time traffic environment information in a travel process of an autonomous vehicle at a current moment; S: mapping the real-time traffic environment information based on a preset mapping relationship to obtain mapped traffic environment information; S: adjusting a target deep reinforcement learning model based on a pre-stored existing deep reinforcement learning model and the mapped traffic environment information; and S: judging whether automatic driving is finished, and in response to the automatic driving is not finished, returning to perform the step of acquiring the real-time traffic environment information in the travel process of the autonomous vehicle at the current moment. An automatic driving system, an automatic driving device and a computer medium storing the automatic driving method are further provided.",
  "title": "Automatic Driving Decision Making Method, System And Device And Computer Storage Medium"
}