{
  "$type": "site.standard.document",
  "coverImage": {
    "$type": "blob",
    "ref": {
      "$link": "bafkreibf3pwng4zrqzznqlc6nqgakdiihcm7y3i637bulgkfpobjsu5b4y"
    },
    "mimeType": "image/png",
    "size": 103346
  },
  "description": "Provided is a method of learning a driving-decision algorithm. The method of learning a driving-decision algorithm for a vehicle includes: receiving a dataset related to driving from a database in which a driving scenario is stored; obtaining a first output by inputting the dataset into a first…",
  "path": "/patents/964708",
  "publishedAt": "2026-05-26T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "B60W60/001",
    "Samsung Electronics Co., Ltd."
  ],
  "textContent": "Provided is a method of learning a driving-decision algorithm. The method of learning a driving-decision algorithm for a vehicle includes: receiving a dataset related to driving from a database in which a driving scenario is stored; obtaining a first output by inputting the dataset into a first large language model (LLM), wherein the first output includes an inference of the first LLM based on the dataset; based on the first output, training a decision-trainer and a behavior-and-trajectory planner; generating a second LLM by updating the first LLM based on a result of the training; and generating a third LLM by updating the second LLM based on the trained decision-trainer and based on a selected traffic rule.",
  "title": "Method and apparatus with autonomous driving decision learning"
}