{
  "$type": "site.standard.document",
  "description": "A method for monocular 3D object perception is described. The method includes sampling multiple, stochastic latent variables from a learned latent feature distribution of an RGB image for a 2D object detected in the RGB image. The method also includes lifting a 3D proposal for each stochastic…",
  "path": "/patents/1289707",
  "publishedAt": "2021-05-06T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "G06T7/73",
    "TOYOTA RESEARCH INSTITUTE, INC."
  ],
  "textContent": "A method for monocular 3D object perception is described. The method includes sampling multiple, stochastic latent variables from a learned latent feature distribution of an RGB image for a 2D object detected in the RGB image. The method also includes lifting a 3D proposal for each stochastic latent variable sampled for the detected 2D object. The method further includes selecting a 3D proposal for the detected 2D object using a proposal selection algorithm to reduce 3D proposal lifting overlap. The method also includes planning a trajectory of an ego vehicle according to a 3D location and pose of the 2D object according to the selected 3D proposal.",
  "title": "VARIATIONAL 3D OBJECT DETECTION"
}