{
  "$type": "site.standard.document",
  "description": "A method for training an image-based trailer identification system comprises capturing a plurality of captured images in a field of view and identifying a detected trailer angle for a trailer in connection with a vehicle in each of the captured images. The method further comprises comparing the…",
  "path": "/patents/1271384",
  "publishedAt": "2020-09-10T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "B60R1/003",
    "Ford Global Technologies, LLC"
  ],
  "textContent": "A method for training an image-based trailer identification system comprises capturing a plurality of captured images in a field of view and identifying a detected trailer angle for a trailer in connection with a vehicle in each of the captured images. The method further comprises comparing the captured images and the corresponding trailer angles to a predetermined image set comprising a plurality of teaching trailer angles and identifying at least one required trailer angle of the teaching trailer angles that is not included in the captured images. Based on the captured images, a simulated angle image is generated. The simulated image comprises a depiction of the trailer in connection with the vehicle at the at least one required angle not included in the captured images. The method further comprises supplying the simulated angle image to the identification system for training.",
  "title": "TRAILER ANGLE DETECTION USING END-TO-END LEARNING"
}