{
  "$type": "site.standard.document",
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  "description": "A computer-implemented method comprises: receiving camera images and three dimensional (3D) data captured by a first vehicle during travel; obtaining, by providing the camera images to a two-dimensional (2D) object detection algorithm, 2D bounding boxes corresponding to first objects visible in the…",
  "path": "/patents/1433780",
  "publishedAt": "2026-06-30T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "G06V20/58",
    "Atieva, Inc."
  ],
  "textContent": "A computer-implemented method comprises: receiving camera images and three dimensional (3D) data captured by a first vehicle during travel; obtaining, by providing the camera images to a two-dimensional (2D) object detection algorithm, 2D bounding boxes corresponding to first objects visible in the camera images; obtaining 3D bounding boxes corresponding to second objects in the 3D data; performing association of the 2D bounding boxes with corresponding ones of the 3D bounding boxes using a first neural network; and generating, using the camera images and the 2D bounding boxes associated with corresponding ones of the 3D bounding boxes, training data for training a second neural network to perform 2D and 3D object detection in an advanced driver assistance system (ADAS) for a second vehicle.",
  "title": "Generating training data for ADAS using neural network"
}