{
  "$type": "site.standard.document",
  "description": "Techniques for generating discrete track data for object(s) in an environment are described herein. For example, the techniques may include a decoder of a variable autoencoder may generate, based on first latent variable data associated with an object and a first time, first output data…",
  "path": "/patents/1367414",
  "publishedAt": "2024-08-01T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "B60W30/095",
    "Zoox, Inc."
  ],
  "textContent": "Techniques for generating discrete track data for object(s) in an environment are described herein. For example, the techniques may include a decoder of a variable autoencoder may generate, based on first latent variable data associated with an object and a first time, first output data representing a first discrete occupancy representation for the object at the first time. A diffusion model may generate, based on the first output data, second latent variable data associated with the object and a second time subsequent to the first time. The decoder may generate, based on the second latent variable data, second output data representing a second discrete occupancy representation for the object at the second time. A track component may generate, based on the first output data and the second output data, track data including a discrete track for the object over at least the first time and the second time.",
  "title": "IMAGE SYNTHESIS FOR DISCRETE TRACK PREDICTION"
}