{
  "$type": "site.standard.document",
  "description": "Provided are methods, systems, and computer program products for autonomous vehicle validation using real-world adversarial events are described herein. The method includes obtaining a record of human driver data and extracting at least one safety critical scenario from the record to create a test…",
  "path": "/patents/1354241",
  "publishedAt": "2023-11-09T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "B60W60/0015",
    "Motional AD LLC"
  ],
  "textContent": "Provided are methods, systems, and computer program products for autonomous vehicle validation using real-world adversarial events are described herein. The method includes obtaining a record of human driver data and extracting at least one safety critical scenario from the record to create a test data set associated with operation of vehicles by human drivers during safety critical scenarios. The method includes simulating operation of a vehicle under evaluation during safety critical scenarios and comparing a response of the vehicle under evaluation to the operation of vehicles by human drivers. The method further includes validating a response of the vehicle under evaluation during the simulated operation according to the test data set by transforming the vehicle response into a safety indicator.",
  "title": "Autonomous Vehicle Validation using Real-World Adversarial Events"
}