{
  "$type": "site.standard.document",
  "description": "A simulation system may generate radar data for synthetic simulations of autonomous vehicles, by using a data store of object radar data and attributes determined from sensor data captured in real-world physical environments. The radar data store may include radar point clouds representing…",
  "path": "/patents/1352158",
  "publishedAt": "2023-10-05T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "B60W60/001",
    "Zoox, Inc."
  ],
  "textContent": "A simulation system may generate radar data for synthetic simulations of autonomous vehicles, by using a data store of object radar data and attributes determined from sensor data captured in real-world physical environments. The radar data store may include radar point clouds representing real-world objects and associated object attributes, as well as radar background data captured for a number of physical environments. The simulation system may construct radar data for use in a simulation based on radar object data and/or radar background data, including using various probabilities within various overlay regions to determine subsets of object and background radar points to be rendered. During a simulation, the generated radar data may be provided to a simulated radar sensor of a simulated vehicle configured to execute trained perception models based on radar data input.",
  "title": "CAPTURING AND SIMULATING RADAR DATA FOR AUTONOMOUS DRIVING SYSTEMS"
}