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Systems and methods for determining path confidence for unmanned vehicles

  • US 10,621,448 B2
  • Filed: 08/02/2017
  • Issued: 04/14/2020
  • Est. Priority Date: 08/02/2017
  • Status: Active Grant
First Claim
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1. A method comprising:

  • receiving a request for a vehicle to navigate a target location;

    determining a navigation path for the vehicle to traverse a first segment of the target location using an artificial neural network (ANN) trained based on a plurality of prior navigation paths previously determined for traversal of segments similar to the first segment of the target location, wherein the ANN comprises at least one of an input node configured to receive as input sensor data representing the first segment of the target location from a sensor on the vehicle, and an input node configured to receive as input one or more locomotive capabilities of the vehicle;

    determining a confidence level associated with the navigation path;

    based on the determined confidence level, selecting a navigation mode for the vehicle from a plurality of navigation modes corresponding to a plurality of levels of remote assistance; and

    causing the vehicle to traverse the first segment of the target location using a level of remote assistance corresponding to the selected navigation mode for the vehicle.

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