{
  "$type": "site.standard.document",
  "description": "Collision filtering for autonomous vehicle simulations is disclosed herein. A simulation system can be configured to identify a simulated collision involving a simulated autonomous vehicle and a simulated agent representing an obstacle with which the simulated autonomous vehicle may collide. For…",
  "path": "/patents/1291907",
  "publishedAt": "2021-06-03T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "G06F30/20",
    "Nuro, Inc."
  ],
  "textContent": "Collision filtering for autonomous vehicle simulations is disclosed herein. A simulation system can be configured to identify a simulated collision involving a simulated autonomous vehicle and a simulated agent representing an obstacle with which the simulated autonomous vehicle may collide. For example, the simulated collision can be simulated based on logged data from a real-world autonomous vehicle. The simulation system can classify the simulated collision as unrealistic or realistic. For example, classification can involve considering a nature of the simulated agent (including, e.g., whether the simulated agent is a drivable obstacle), a nature of the collision, whether the collision is avoidable through an evasive maneuver, whether the collision is similar to a known false positive, and/or input from a human operator. The simulation system can filter the simulated collision from participating in a collision triage analysis in response to classifying the simulated collision as an unrealistic simulated collision.",
  "title": "COLLISION FILTERING FOR AUTONOMOUS VEHICLE SIMULATIONS"
}