Patents by Inventor Brian Christopher Becker

Brian Christopher Becker has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Learned Validation Metric for Evaluating Autonomous Vehicle Motion Planning Performance
    Publication number: 20250214610
    Abstract: The present disclosure provides an example method for validating a trajectory generated by an autonomous vehicle control system (AV trajectory) in a driving scenario. The example method includes (a) obtaining the AV trajectory and a reference trajectory, wherein the reference trajectory describes a desired motion of a vehicle in the driving scenario; (b) determining a plurality of component divergence values for a plurality of divergence metrics, wherein a respective divergence value characterizes a respective difference between the AV trajectory and the reference trajectory; (c) providing the plurality of component divergence values to a machine-learned model to generate a score that indicates an aggregate divergence between the AV trajectory and the reference trajectory, wherein the machine-learned model comprises a plurality of learned parameters defining an influence of the plurality of component divergence values on the score; and (d) validating the AV trajectory based on the score.
    Type: Application
    Filed: October 24, 2024
    Publication date: July 3, 2025
    Inventors: J. Andrew Bagnell, Brian Christopher Becker, Davis Edward King, Skandavimal Shridhar, Drew Edward Steedly, Xinyan Yan
  • Learned validation metric for evaluating autonomous vehicle motion planning performance
    Patent number: 12151707
    Abstract: The present disclosure provides an example method for validating a trajectory generated by an autonomous vehicle control system (AV trajectory) in a driving scenario. The example method includes (a) obtaining the AV trajectory and a reference trajectory, wherein the reference trajectory describes a desired motion of a vehicle in the driving scenario; (b) determining a plurality of component divergence values for a plurality of divergence metrics, wherein a respective divergence value characterizes a respective difference between the AV trajectory and the reference trajectory; (c) providing the plurality of component divergence values to a machine-learned model to generate a score that indicates an aggregate divergence between the AV trajectory and the reference trajectory, wherein the machine-learned model comprises a plurality of learned parameters defining an influence of the plurality of component divergence values on the score; and (d) validating the AV trajectory based on the score.
    Type: Grant
    Filed: April 11, 2024
    Date of Patent: November 26, 2024
    Assignee: AURORA OPERATIONS, INC.
    Inventors: James Andrew Bagnell, Brian Christopher Becker, Davis Edward King, Skandavimal Shridhar, Drew Edward Steedly, Xinyan Yan