{
  "$type": "site.standard.document",
  "description": "A method for controlling an automated driving operation includes setting up respective independent models for executing planning and learning in the automated driving operation, including a vehicle planning model and a cognitive learning model. A semantic layer is generated to act as a bridge…",
  "path": "/patents/1356079",
  "publishedAt": "2023-12-14T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "B60W50/00",
    "GM GLOBAL TECHNOLOGY OPERATIONS LLC"
  ],
  "textContent": "A method for controlling an automated driving operation includes setting up respective independent models for executing planning and learning in the automated driving operation, including a vehicle planning model and a cognitive learning model. A semantic layer is generated to act as a bridge between the cognitive learning model and the vehicle planning model, the semantic layer including a first data adaptor and a second data adaptor. The method includes transforming real traffic data to a respective equivalent abstract representation such that it can be used by the cognitive learning model to generate a humanized reward model, via the first data adaptor. The method includes determining a trajectory plan, via the vehicle planning model, based in part on the humanized reward model. The vehicle has a controller that executes the automated driving operation based in part on the trajectory plan.",
  "title": "CONTROL OF VEHICLE AUTOMATED DRIVING OPERATION WITH INDEPENDENT PLANNING MODEL AND COGNITIVE LEARNING MODEL"
}