Patents by Inventor Omar D. Medjaouri

Omar D. Medjaouri 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).

  • Publication number: 20230082486
    Abstract: A method of providing a collision avoiding travel path for an autonomous vehicle. A sensor system obtains stereo image data of a scene in the environment ahead of the normal travel path. This image data is used to generate a disparity image. The disparity image is processed to generate an occupancy map that assigns values to areas of the scene based on levels of visual clutter. The occupancy map is then converted to a potential field, which assigns each pixel in the scene with a force value that corresponds to its proximity to one or more obstacles. These force value are summed and used to modify the vehicle's path is a collision is likely.
    Type: Application
    Filed: September 13, 2021
    Publication date: March 16, 2023
    Inventors: Omar D. Medjaouri, David J. Anthony, Stephen A. Geiger
  • Patent number: 11475577
    Abstract: A motion prediction system for predicting the motion of a random animate subject. A first neural network is a markerless motion capture network, trained to receive video data of the subject and to process the video data to generate a time sequence of musculoskeletal motion capture data. A second neural network is a motion prediction network, trained to receive the musculoskeletal motion capture data and to process the data to generate a prediction of the subject's location based on position change in position of joints and/or muscles.
    Type: Grant
    Filed: November 1, 2020
    Date of Patent: October 18, 2022
    Assignee: Southwest Research Institute
    Inventors: Samuel E. Slocum, Omar D. Medjaouri, Edmond M. DuPont, Christopher I. Mentzer
  • Publication number: 20220138967
    Abstract: A motion prediction system for predicting the motion of a random animate subject. A first neural network is a markerless motion capture network, trained to receive video data of the subject and to process the video data to generate a time sequence of musculoskeletal motion capture data. A second neural network is a motion prediction network, trained to receive the musculoskeletal motion capture data and to process the data to generate a prediction of the subject's location based on position change in position of joints and/or muscles.
    Type: Application
    Filed: November 1, 2020
    Publication date: May 5, 2022
    Inventors: Samuel E. Slocum, Omar D. Medjaouri, Edmond M. DuPont, Christopher I. Mentzer
  • Patent number: 11118873
    Abstract: A dazzling system has at least one strobe illuminator and multiple imaging optics, which may be of various types. All strobe illuminators are synchronized to each other and the imaging optics are synchronized to all strobe illuminators. The imaging optics may be in-phase or out-of-phase. Various embodiments are possible depending on the application, but in all applications the strobe illuminator(s) disrupt the vision of unauthorized persons while allowing users of the system to view a scenario.
    Type: Grant
    Filed: April 10, 2019
    Date of Patent: September 14, 2021
    Assignee: Southwest Research Institute
    Inventors: Andrew R. Moore, Omar D. Medjaouri, Joseph N. Mitchell, Trent Marshall Hejazi
  • Publication number: 20200326163
    Abstract: A dazzling system has at least one strobe illuminator and multiple imaging optics, which may be of various types. All strobe illuminators are synchronized to each other and the imaging optics are synchronized to all strobe illuminators. The imaging optics may be in-phase or out-of-phase. Various embodiments are possible depending on the application, but in all applications the strobe illuminator(s) disrupt the vision of unauthorized persons while allowing users of the system to view a scenario.
    Type: Application
    Filed: April 10, 2019
    Publication date: October 15, 2020
    Inventors: Andrew R. Moore, Omar D. Medjaouri, Joseph N. Mitchell, Trent Marshall Hejazi