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Determining portions of a roadway model requiring updating

  • US 9,437,053 B2
  • Filed: 01/05/2015
  • Issued: 09/06/2016
  • Est. Priority Date: 01/06/2014
  • Status: Active Grant
First Claim
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1. A computer-implemented method for determining which portions of a roadway model representing a real-world roadway require updating, the method comprising:

  • maintaining a roadway model of the real-world roadway, the roadway model being sufficient to enable autonomous driverless operation of a self-driving road vehicle;

    receiving, from a plurality of self-driving road vehicles on the roadway, discrepancy data for known positions on the roadway;

    aggregating the discrepancy data into aggregated discrepancy data, wherein the aggregated discrepancy data comprises, for at least some portions of the roadway, discrepancy data from a plurality of individual self-driving road vehicles;

    using the aggregated discrepancy data to identify, as the portions of the roadway model which require updating, those portions of the roadway model corresponding to portions of the roadway for which the aggregated discrepancy data exceeds a threshold; and

    responsive to identifying the portions of the roadway model which require updating, doing at least one of;

    dispatching one or more survey vehicles to the portions of the roadway for which the aggregated discrepancy data exceeds the threshold; and

    modifying an existing plan for updating the roadway model to include the portions of the roadway for which the aggregated discrepancy data exceeds the threshold.

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