Accident risk model determination using autonomous vehicle operating data

  • US 10,510,123 B1
  • Filed: 11/08/2017
  • Issued: 12/17/2019
  • Est. Priority Date: 05/20/2014
  • Status: Active Grant
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First Claim
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1. A computer-implemented method of evaluating effectiveness of an autonomous or semi-autonomous vehicle technology, the method comprising:

  • implementing, by one or more processors, the autonomous or semi-autonomous vehicle technology within a virtual test environment configured to simultaneously test multiple autonomous or semi-autonomous vehicle technologies;

    presenting, by the one or more processors, virtual test sensor data to the autonomous or semi-autonomous vehicle technology implemented within the virtual test environment, wherein the virtual test sensor data simulates sensor data for operating conditions associated with a plurality of test scenarios within the virtual test environment;

    generating, by the one or more processors, test responses of the autonomous or semi-autonomous vehicle technology implemented within the virtual test environment in response to the virtual test sensor data;

    generating, by the one or more processors, an accident risk model indicating one or more risk levels for vehicle accidents associated with the autonomous or semi-autonomous vehicle technology based upon the test responses;

    receiving, at the one or more processors, actual accident data associated with accidents involving vehicles using the autonomous or semi-autonomous vehicle technology in a non-test environment;

    adjusting, by the one or more processors, the accident risk model based upon the actual accident data by adjusting at least one of the one or more risk levels of the accident risk level;

    identifying, by the one or more processors, a customer vehicle having the autonomous or semi-autonomous vehicle control technology; and

    generating or updating, by the one or more processors, an insurance policy associated with the customer vehicle based upon the adjusted at least one of the one or more risk levels of the adjusted accident risk model.

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