Autonomous vehicle operation adjustment based upon route

  • US 10,324,463 B1
  • Filed: 01/18/2017
  • Issued: 06/18/2019
  • Est. Priority Date: 01/22/2016
  • Status: Active Grant
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First Claim
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1. A computer-implemented method for optimizing usage of autonomous operation features of a vehicle during operation, comprising:

  • identifying, using one or more geolocation components within the vehicle, a location of the vehicle;

    accessing, by one or more processors within the vehicle, map data containing information regarding a plurality of road segments, the information including location data associated with each road segment and an indication of suitability for autonomous operation feature use associated with each road segment;

    identifying, by the one or more processors, a current road segment from the plurality of road segments based upon the identified location of the vehicle;

    monitoring, by one or more sensors disposed within the vehicle, environmental conditions within a vehicle operating environment of the vehicle;

    determining, by the one or more processors, one or more optimal usage levels for one or more of the autonomous operation features of the vehicle associated with the current road segment in the environmental conditions within the vehicle operating environment of the vehicle by;

    determining a current risk level associated with operation of the vehicle along the current road segment using one or more current usage levels of the autonomous operation features in the environmental conditions;

    determining one or more alternative risk levels associated with operation of the vehicle along the current road segment using one or more alternative usage levels of the autonomous operation features in the environmental conditions;

    identifying a subset of the one or more alternative usage levels, each alternative usage level of the subset being associated with respective alternative risk levels less than the current risk level; and

    selecting the one or more optimal usage levels from the subset of the one or more alternative usage levels based upon the one or more alternative risk levels associated with the one or more alternative usage levels of the subset;

    determining, by the one or more processors, a usage level change associated with at least one of the autonomous operation features by comparing the optimal usage levels against the one or more current usage levels of the autonomous operation features; and

    implementing, by the one or more processors, the usage level change.

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