{
  "$type": "site.standard.document",
  "description": "Predicting a future trajectory of an object may comprise using a machine-learned model architecture to iteratively predict a series of predicted poses (positions and orientations) of the object over time. The machine-learned model may condition these predictions on a lane orientation of nearest…",
  "path": "/patents/1407319",
  "publishedAt": "2026-06-16T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "B60W50/0097",
    "Zoox, Inc."
  ],
  "textContent": "Predicting a future trajectory of an object may comprise using a machine-learned model architecture to iteratively predict a series of predicted poses (positions and orientations) of the object over time. The machine-learned model may condition these predictions on a lane orientation of nearest target pose to a predicted pose or last predicted pose of the object.",
  "title": "Machine-learned model architecture for predicting future object trajectory"
}