{
  "$type": "site.standard.document",
  "description": "A high precision position estimation method through a road shape classification-based map matching implemented by a high precision position estimation system of an autonomous vehicle includes classifying a road into a straight lane, a curved lane, and a clothoid curve lane by the lane matching…",
  "path": "/patents/1319547",
  "publishedAt": "2022-06-09T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "B60W60/001",
    "HYUNDAI MOTOR COMPANY"
  ],
  "textContent": "A high precision position estimation method through a road shape classification-based map matching implemented by a high precision position estimation system of an autonomous vehicle includes classifying a road into a straight lane, a curved lane, and a clothoid curve lane by the lane matching between a sensor lane segment and a map lane segment, generating a movement amount value calculated by applying a geometric feature-based map matching or an optimization-based map matching to the classified lane as a covariance matrix, and calculating the latitude, longitude, and traveling direction of a vehicle to be estimated by combining the covariance matrix with sensor measurement values of a vehicle speed and a yaw rate by an extended Kalman filter.",
  "title": "HIGH PRECISION POSITION ESTIMATION METHOD THROUGH ROAD SHAPE CLASSIFICATION-BASED MAP MATCHING AND AUTONOMOUS VEHICLE THEREOF"
}