Accident risk model determination using autonomous vehicle operating data

  • US 9,852,475 B1
  • Filed: 05/15/2015
  • Issued: 12/26/2017
  • 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:

  • generating, by one or more computing systems configured to evaluate the autonomous or semi-autonomous vehicle technology operating within a virtual test environment configured to simultaneously test at least one additional autonomous or semi-autonomous vehicle technologies, test data regarding results of virtual testing within the virtual test environment in which responses of the autonomous or semi-autonomous vehicle technology to virtual test sensor data are simulated;

    receiving, by one or more processors, effectiveness information regarding the autonomous or semi-autonomous vehicle technology, the effectiveness information including both (i) actual accident data associated with vehicles having the autonomous or semi-autonomous vehicle technology and (ii) the test data associated with the autonomous or semi-autonomous vehicle technology;

    determining, by one or more processors, an indication of reliability of the autonomous or semi-autonomous vehicle technology based at least in part upon compatibility of a version of or an update to computer-readable instructions involved in implementation of part or all of the autonomous or semi-autonomous vehicle technology with one or more versions of the at least one additional autonomous or semi-autonomous vehicle technologies tested;

    determining, by one or more processors, an accident risk model based upon the received effectiveness information and the determined indication of reliability;

    determining, by one or more processors, an insurance policy for a vehicle equipped with the autonomous or semi-autonomous vehicle technology based at least in part upon the accident risk model; and

    causing, by one or more processors, information regarding all or a portion of the determined insurance policy for the vehicle to be presented to a customer for review by the customer via a display of a computing device associated with the customer.

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