{
  "$type": "site.standard.document",
  "description": "In one embodiment, a vehicle light classification system captures a sequence of images of a scene that includes a front/rear view of a vehicle with front/rear-side lights, determines semantic keypoints, in the images and associated with the front/rear-side lights, based on inputting the images into…",
  "path": "/patents/1326488",
  "publishedAt": "2022-09-08T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "G06K9/00791",
    "Toyota Research Institute, Inc."
  ],
  "textContent": "In one embodiment, a vehicle light classification system captures a sequence of images of a scene that includes a front/rear view of a vehicle with front/rear-side lights, determines semantic keypoints, in the images and associated with the front/rear-side lights, based on inputting the images into a first neural network, obtains multiple difference images that are each a difference between successive images from among the sequence of images, the successive images being aligned based on their respective semantic keypoints, and determines a classification of the front/rear-side lights based at least in part on the difference images by inputting the difference images into a second neural network.",
  "title": "SYSTEMS AND METHODS FOR VEHICLE LIGHT SIGNAL CLASSIFICATION"
}