Patents by Inventor William K. Leach

William K. Leach 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: 12254646
    Abstract: A system for refining a six degrees of freedom pose estimate of a target object based on a one-dimensional measurement includes a camera and a range-sensing device. The range-sensing device is configured to determine an actual distance measured between the range-sensing device and an actual point of intersection. The range-sensing device projects a line-of-sight that intersects with the target object at the actual point of intersection. The system also includes one or more processors in electronic communication with the camera and the range-sensing device and a memory coupled to the processors. The memory stores data into one or more databases and program code that, when executed by the processors, causes the system to predict the six degrees of freedom pose estimate of the target object. The system also determines a revised six degrees of freedom pose estimate of the target object based on at least an absolute error.
    Type: Grant
    Filed: December 20, 2021
    Date of Patent: March 18, 2025
    Assignee: The Boeing Company
    Inventors: William K Leach, Leon Nguyen, Fan Hung, Yang Chen, Deepak Khosla, Haden H. Smith
  • Patent number: 12066530
    Abstract: A method, apparatus and computer program product are provided to generate a model of one or more objects relative to a vehicle. In the context of a method, radar information is received in the form of in-phase quadrature (IQ) data and the IQ data is converted to one or more first range-doppler maps. The method further includes evaluating the one or more first range-doppler maps with a machine learning model to generate the model that captures the detection of the one or more objects relative to the vehicle. A corresponding apparatus and computer program product are also provided.
    Type: Grant
    Filed: March 8, 2022
    Date of Patent: August 20, 2024
    Assignee: THE BOEING COMPANY
    Inventors: Nick Shadbeh Evans, William K. Leach, Deepak Khosla, Leon Nguyen, Michelle D. Warren
  • Publication number: 20220404490
    Abstract: A method, apparatus and computer program product are provided to generate a model of one or more objects relative to a vehicle. In the context of a method, radar information is received in the form of in-phase quadrature (IQ) data and the IQ data is converted to one or more first range-doppler maps. The method further includes evaluating the one or more first range-doppler maps with a machine learning model to generate the model that captures the detection of the one or more objects relative to the vehicle. A corresponding apparatus and computer program product are also provided.
    Type: Application
    Filed: March 8, 2022
    Publication date: December 22, 2022
    Applicant: THE BOEING COMPANY
    Inventors: Nick Shadbeh EVANS, William K. LEACH, Deepak KHOSLA, Leon NGUYEN, Michelle D. WARREN
  • Publication number: 20220215571
    Abstract: A system for refining a six degrees of freedom pose estimate of a target object based on a one-dimensional measurement includes a camera and a range-sensing device. The range-sensing device is configured to determine an actual distance measured between the range-sensing device and an actual point of intersection. The range-sensing device projects a line-of-sight that intersects with the target object at the actual point of intersection. The system also includes one or more processors in electronic communication with the camera and the range-sensing device and a memory coupled to the processors. The memory stores data into one or more databases and program code that, when executed by the processors, causes the system to predict the six degrees of freedom pose estimate of the target object. The system also determines a revised six degrees of freedom pose estimate of the target object based on at least an absolute error.
    Type: Application
    Filed: December 20, 2021
    Publication date: July 7, 2022
    Inventors: William K. Leach, Leon Nguyen, Fan Hung, Yang Chen, Deepak Khosla, Haden H. Smith