Patents by Inventor Grant A. Soremekun

Grant A. Soremekun 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).

  • Sensor coverage analysis for automated driving scenarios involving intersections
    Patent number: 11720106
    Abstract: Examples described herein provide a computer-implemented method that includes defining, by a processing device, a plurality of parameters so that any orthogonal intersection can be described. The method further includes building, by the processing device, an orthogonal parameterized model that can represent any orthogonal intersection based at least in part on the plurality of parameters that can describe any intersection of interest. The method further includes expanding, by the processing device, the orthogonal parameterized model to generate a fully parameterized intersection model that accounts for intersection complexities. The method further includes building, by the processing device, a low-fidelity analytical that computes various metrics based on the fully parameterized intersection model.
    Type: Grant
    Filed: January 7, 2020
    Date of Patent: August 8, 2023
    Assignee: GM GLOBAL TECHNOLOGY OPERATIONS LLC
    Inventors: Jeremy P. Gray, Grant A. Soremekun, Daniel S. Maitlen
  • SENSOR COVERAGE ANALYSIS FOR AUTOMATED DRIVING SCENARIOS INVOLVING INTERSECTIONS
    Publication number: 20210208588
    Abstract: Examples described herein provide a computer-implemented method that includes defining, by a processing device, a plurality of parameters so that any orthogonal intersection can be described. The method further includes building, by the processing device, an orthogonal parameterized model that can represent any orthogonal intersection based at least in part on the plurality of parameters that can describe any intersection of interest. The method further includes expanding, by the processing device, the orthogonal parameterized model to generate a fully parameterized intersection model that accounts for intersection complexities. The method further includes building, by the processing device, a low-fidelity analytical that computes various metrics based on the fully parameterized intersection model.
    Type: Application
    Filed: January 7, 2020
    Publication date: July 8, 2021
    Inventors: Jeremy P. Gray, Grant A. Soremekun, Daniel S. Maitlen
  • Method and system for configuring filter objects for a controller area network controller
    Patent number: 10565148
    Abstract: A system and method for configuring a filter object for a controller area network is disclosed. The method includes determining, by a processor, a plurality of message identifiers of messages that are to be captured by a filter object. The method also includes performing factorization of a function that represents the plurality of message identifiers to generate a simplified function. The method also includes configuring at least one filter object based on the generated simplified function.
    Type: Grant
    Filed: May 14, 2018
    Date of Patent: February 18, 2020
    Assignee: GM GLOBAL TECHNOLOGY OPERATIONS LLC
    Inventors: Paolo Giusto, Grant A. Soremekun, Michael A. Turley, Ramesh S
  • METHOD AND SYSTEM FOR CONFIGURING FILTER OBJECTS FOR A CONTROLLER AREA NETWORK CONTROLLER
    Publication number: 20190347232
    Abstract: A system and method for configuring a filter object for a controller area network is disclosed. The method includes determining, by a processor, a plurality of message identifiers of messages that are to be captured by a filter object. The method also includes performing factorization of a function that represents the plurality of message identifiers to generate a simplified function. The method also includes configuring at least one filter object based on the generated simplified function.
    Type: Application
    Filed: May 14, 2018
    Publication date: November 14, 2019
    Inventors: Paolo Giusto, Grant A. Soremekun, Michael A. Turley, Ramesh S.