{
  "$type": "site.standard.document",
  "description": "Techniques for generating a vehicle trajectory usable for for controlling an autonomous vehicle in an environment are described herein. For example, the techniques may include a computing device implementing a machine learned model and a statistical model in parallel in a tree search of a tree…",
  "path": "/patents/1407339",
  "publishedAt": "2026-06-16T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "B60W60/001",
    "Zoox, Inc."
  ],
  "textContent": "Techniques for generating a vehicle trajectory usable for for controlling an autonomous vehicle in an environment are described herein. For example, the techniques may include a computing device implementing a machine learned model and a statistical model in parallel in a tree search of a tree structure to predict a trajectory of the autonomous vehicle in the environment. The tree structure can process a latent representation and a non-latent representation in parallel to determine potential actions and/or trajectories for the autonomous vehicle. The tree structure of the computing device can output a trajectory for controlling the autonomous vehicle in the environment. Depending on examples, the environment is a real-world environment or a simulated environment.",
  "title": "Combining latent features and non-latent features by a planning system"
}