Patents by Inventor Michael Milford

Michael Milford 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: 12217450
    Abstract: An approximate camera location on a route can be determined by inputting a first image acquired by a vehicle camera to a first convolutional neural network. First image feature points can be extracted from the first image using a feature extraction algorithm. Pose estimation parameters for a pose estimation algorithm can be selected based on the approximate camera location. A six degree-of-freedom (DoF) camera pose can be determined by inputting the first image feature points and second feature points included in a structure-from-motion (SfM) map based on the route to the pose estimation algorithm which is controlled by the pose estimation parameters. A six DoF vehicle pose can be determined based on the six DoF camera pose.
    Type: Grant
    Filed: February 8, 2022
    Date of Patent: February 4, 2025
    Assignee: Ford Global Technologies, LLC
    Inventors: Ming Xu, Sourav Garg, Michael Milford, Punarjay Chakravarty, Shubham Shrivastava
  • Publication number: 20240404081
    Abstract: A computer includes a processor and a memory, and the memory stores instructions executable by the processor to determine a quantity of relative motion between a host vehicle and a target vehicle; in response to the quantity of relative motion being below a threshold, determine a pose of the host vehicle subject to a constraint on motion of the host vehicle; and in response to the quantity of relative motion being above the threshold, determine the pose of the host vehicle without the constraint.
    Type: Application
    Filed: June 2, 2023
    Publication date: December 5, 2024
    Applicants: Ford Global Technologies, LLC, QUEENSLAND UNIVERSITY OF TECHNOLOGY
    Inventors: Stephen Hausler, Shubham Shrivastava, Punarjay Chakravarty, Ankit Girish Vora, Michael Milford, Sourav Garg
  • Publication number: 20230252667
    Abstract: An approximate camera location on a route can be determined by inputting a first image acquired by a vehicle camera to a first convolutional neural network. First image feature points can be extracted from the first image using a feature extraction algorithm. Pose estimation parameters for a pose estimation algorithm can be selected based on the approximate camera location. A six degree-of-freedom (DoF) camera pose can be determined by inputting the first image feature points and second feature points included in a structure-from-motion (SfM) map based on the route to the pose estimation algorithm which is controlled by the pose estimation parameters. A six DoF vehicle pose can be determined based on the six DoF camera pose.
    Type: Application
    Filed: February 8, 2022
    Publication date: August 10, 2023
    Applicant: Ford Global Technologies, LLC
    Inventors: Ming Xu, Sourav Garg, Michael Milford, Punarjay Chakravarty, Shubham Shrivastava