Patents by Inventor Matthew Sheckells

Matthew Sheckells 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).

  • Patent number: 10976743
    Abstract: In autonomous driving, it is often useful to plan trajectories in a curvilinear coordinate frame with respect to some reference trajectory, like a path produced by a hi-level route planner. This disclosure includes techniques for developing efficient approximate path coordinate motion primitives appropriate for fast planning in autonomous driving scenarios. These primitives are approximate in that particular quantities, like the path length, acceleration, and track offset trajectory, are known with some degree of certainty, and values that depend on the curvature of the reference path can be bound. Such approximate motion primitives can be used to control the autonomous vehicle to follow the trajectory in an environment.
    Type: Grant
    Filed: August 12, 2019
    Date of Patent: April 13, 2021
    Assignee: Zoox, Inc.
    Inventors: Matthew Sheckells, Timothy Caldwell, Marin Kobilarov
  • Publication number: 20190361450
    Abstract: In autonomous driving, it is often useful to plan trajectories in a curvilinear coordinate frame with respect to some reference trajectory, like a path produced by a hi-level route planner. This disclosure includes techniques for developing efficient approximate path coordinate motion primitives appropriate for fast planning in autonomous driving scenarios. These primitives are approximate in that particular quantities, like the path length, acceleration, and track offset trajectory, are known with some degree of certainty, and values that depend on the curvature of the reference path can be bound. Such approximate motion primitives can be used to control the autonomous vehicle to follow the trajectory in an environment.
    Type: Application
    Filed: August 12, 2019
    Publication date: November 28, 2019
    Inventors: Matthew Sheckells, Timothy Caldwell, Marin Kobilarov
  • Patent number: 10379538
    Abstract: In autonomous driving, it is often useful to plan trajectories in a curvilinear coordinate frame with respect to some reference trajectory, like a path produced by a hi-level route planner. This disclosure includes techniques for developing efficient approximate path coordinate motion primitives appropriate for fast planning in autonomous driving scenarios. These primitives are approximate in that particular quantities, like the path length, acceleration, and track offset trajectory, are known with some degree of certainty, and values that depend on the curvature of the reference path can be bound. Such approximate motion primitives can be used to control the autonomous vehicle to follow the trajectory in an environment.
    Type: Grant
    Filed: December 15, 2017
    Date of Patent: August 13, 2019
    Assignee: Zoox, Inc.
    Inventors: Matthew Sheckells, Timothy Caldwell, Marin Kobilarov