{
  "$type": "site.standard.document",
  "description": "An autonomous vehicle (AV) includes a vehicle computing system including one or more processors configured to receive map data associated with a map of a geographic location, receive pose data based on a pose estimate associated with a location of the autonomous vehicle, determine, based on the…",
  "path": "/patents/1238158",
  "publishedAt": "2019-07-04T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "G05D1/0274",
    "Uber Technologies, Inc."
  ],
  "textContent": "An autonomous vehicle (AV) includes a vehicle computing system including one or more processors configured to receive map data associated with a map of a geographic location, receive pose data based on a pose estimate associated with a location of the autonomous vehicle, determine, based on the pose data, that the autonomous vehicle is on a coverage lane, and, in response to determining that the autonomous vehicle is on the coverage lane, determine one or more candidate lanes, generate a route plan, based on the one or more candidate lanes and a current lane, and control travel of the autonomous vehicle on the route plan. The map includes (i) a coverage lane where the autonomous vehicle can travel under a partially-autonomous mode or a manual mode, and (ii) an AV lane where the autonomous vehicle can travel under a fully-autonomous mode. The autonomous vehicle configured to determine a pose estimate in a submap of a plurality of submaps where an autonomous vehicle can travel.",
  "title": "Low Quality Pose Lane Associator"
}