Patents by Inventor Daniel Robert Kepple

Daniel Robert Kepple 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).

  • Jointly learning visual motion and confidence from local patches in event cameras
    Patent number: 11694304
    Abstract: A method may include obtaining a set of events, of a set of pixels of a dynamic vision sensor, associated with an object; determining a set of voltages of the set of pixels, based on the set of events; generating a set of images, based on the set of voltages of the set of pixels; inputting the set of images into a first neural network configured to output a visual motion estimation of the object; inputting the set of images into a second neural network configured to output a confidence score of the visual motion estimation output by the first neural network; obtaining the visual motion estimation of the object and the confidence score of the visual motion estimation of the object, based on inputting the set of images into the first neural network and the second neural network; and providing the visual motion estimation of the object and the confidence score.
    Type: Grant
    Filed: November 25, 2020
    Date of Patent: July 4, 2023
    Assignee: SAMSUNG ELECTRONICS CO., LTD.
    Inventors: Daniel Robert Kepple, Dae Won Lee, Ibrahim Volkan Isler, Kanaka Rajan, Il Memming Park, Daniel Dongyuel Lee
  • JOINTLY LEARNING VISUAL MOTION AND CONFIDENCE FROM LOCAL PATCHES IN EVENT CAMERAS
    Publication number: 20210158483
    Abstract: A method may include obtaining a set of events, of a set of pixels of a dynamic vision sensor, associated with an object; determining a set of voltages of the set of pixels, based on the set of events; generating a set of images, based on the set of voltages of the set of pixels; inputting the set of images into a first neural network configured to output a visual motion estimation of the object; inputting the set of images into a second neural network configured to output a confidence score of the visual motion estimation output by the first neural network; obtaining the visual motion estimation of the object and the confidence score of the visual motion estimation of the object, based on inputting the set of images into the first neural network and the second neural network; and providing the visual motion estimation of the object and the confidence score.
    Type: Application
    Filed: November 25, 2020
    Publication date: May 27, 2021
    Applicant: SAMSUNG ELECTRONICS CO., LTD.
    Inventors: Daniel Robert Kepple, Dae Won Lee, Ibrahim Volkan Isler, Kanaka Rajan, Il Memming Park, Daniel Dongyuel Lee