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Neural network system for autonomous vehicle control

  • US 10,452,068 B2
  • Filed: 10/17/2016
  • Issued: 10/22/2019
  • Est. Priority Date: 10/17/2016
  • Status: Active Grant
First Claim
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1. A neural network system for autonomous control of a self-driving vehicle (SDV), the neural network system comprising:

  • one or more processors; and

    one or more memory resources storing a machine learning model that, when executed by the one or more processors, cause the neural network system to;

    establish a destination location in local coordinates relative to the SDV;

    identify one or more navigation points in a forward operational direction of the SDV;

    process sensor data from a sensor system of the SDV, the sensor data providing a sensor view of the forward operational direction of the SDV;

    determine, using a location-based resource, a current position of the SDV, wherein the one or more navigation points are computed based on the current position of the SDV and the established route to the destination location; and

    utilizing the sensor data, operate acceleration, braking, and steering systems of the SDV to continuously follow the one or more navigation points along an established route to the destination location;

    wherein noise is incorporated into location signals corresponding to the one or more navigation points, and wherein the noise causes the neural network system to rely on processing the sensor data in conjunction with continuously following the one or more navigation points.

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