{
  "$type": "site.standard.document",
  "description": "A method of reflection removal based on a GAN used for training of an ADAS vehicle camera includes acquisition, training and inference operations. In a first training operation, data processing hardware acquires two randomly sampled pairs of images from a first image dataset and carries out two…",
  "path": "/patents/1342738",
  "publishedAt": "2023-05-04T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "G06V20/58",
    "Continental Autonomous Mobility Germany GmbH"
  ],
  "textContent": "A method of reflection removal based on a GAN used for training of an ADAS vehicle camera includes acquisition, training and inference operations. In a first training operation, data processing hardware acquires two randomly sampled pairs of images from a first image dataset and carries out two simultaneous altering and overlapping of the image pair generating first and second mixed images. In a second training operation, the first image together with a third mixed image are altered, the third mixed image proceeding from a second dataset. The output of the first and second training operations enter the third training operation which is carried out by using the GAN. A third training operation generates first, second and third predicted transmission images; and a machine learning model is optimized for the predicted transmission images as close as possible, compressed and sent to a GAN machine learning block.",
  "title": "METHOD OF REFLECTION REMOVAL BASED ON A GENERATIVE ADVERSARIAL NETWORK USED FOR TRAINING OF AN ADAS CAMERA OF A VEHICLE"
}