{
  "$type": "site.standard.document",
  "coverImage": {
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  "description": "The present disclosure relates to a computer-implemented method and processing system for estimating a probability of failure for different severity levels for an Automated Driving System (ADS) feature in a virtual test environment. In more detail, the embodiments of the present disclosure enables…",
  "path": "/patents/1413859",
  "publishedAt": "2023-09-20T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "B60R16/023",
    "ZENUITY AB [SE]"
  ],
  "textContent": "The present disclosure relates to a computer-implemented method and processing system for estimating a probability of failure for different severity levels for an Automated Driving System (ADS) feature in a virtual test environment. In more detail, the embodiments of the present disclosure enables estimation of a probability of crash of different severities, by utilizing a limit state function (LSF) that attains increasingly negative or positive values after crash (e.g. when TTC = 0 or PET = 0). This may for example be achieved by defining a function for severity that is more negative for more severe crashes. The LSF may for example comprises a function of the delta speed at collision (i.e. minus delta speed at collision). Being able to generate a probability of failure for different severity classes for a given ADS feature may be advantageous for focusing development and verification activities to the most needed areas/aspects of the system under test (ADS feature under test).",
  "title": "ESTIMATION OF PROBABILITY OF COLLISION WITH INCREASING SEVERITY LEVEL FOR AUTONOMOUS VEHICLES"
}