{
  "$type": "site.standard.document",
  "description": "A method to improve scale consistency and/or scale awareness in a model of self-supervised depth and ego-motion prediction neural networks processing a video stream of monocular images, wherein complementary GPS coordinates synchronized with the images are used to calculate a GPS to scale loss to…",
  "path": "/patents/1410169",
  "publishedAt": "2024-08-21T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "B60W60/001",
    "NAVINFO EUROPE B V [NL]"
  ],
  "textContent": "A method to improve scale consistency and/or scale awareness in a model of self-supervised depth and ego-motion prediction neural networks processing a video stream of monocular images, wherein complementary GPS coordinates synchronized with the images are used to calculate a GPS to scale loss to enforce the scale-consistency and/or -awareness on the monocular self-supervised ego-motion and depth estimation. A relative weight assigned to the GPS to scale loss exponentially increases as training progresses. The depth and ego-motion prediction neural networks are trained using an appearance-based photometric loss between real and synthesized target images, as well as a smoothness loss on the depth predictions.",
  "title": "METHOD TO IMPROVE SCALE CONSISTENCY AND/OR SCALE AWARENESS IN A MODEL OF SELF-SUPERVISED DEPTH AND EGO-MOTION PREDICTION NEURAL NETWORKS"
}