Patents by Inventor Boris Indelman

Boris Indelman 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: 20260141689
    Abstract: A method for training a neural network including receiving a plurality of images of a driver's field of view, generating a depth information, a driver's gaze probability and a known object indication for each of the plurality of images, estimating a probability of an unknown object within each of the plurality of images in response to the depth information, the driver's gaze probability and the known object indication, generating a plurality of annotated images in response to annotating each of the plurality of images having the probability of the unknown object exceeding a threshold probability to identify the unknown object, wherein each of the plurality of annotated images is annotated to identify the unknown object, and training the neural network in response to the plurality of annotated images.
    Type: Application
    Filed: November 21, 2024
    Publication date: May 21, 2026
    Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
    Inventors: Michael Baltaxe, Ron Hecht, Andrea Forgacs Braunshtain, Gershon Celniker, Boris Indelman, Carmel Rabinovitz
  • Patent number: 11143747
    Abstract: A system for classifying received signals from a radar system into noise or a detection includes a source of a radar energy map and a memory that stores an integral image data structure for computing an integral image. The system includes a processor in communication with the source and the memory programmed to: generate an initial image including initial cells each having an energy value based on the radar energy map; compute the integral image based on the initial image; determine a coordinate location of an initial cell; determine coordinate locations of indices associated with corners of a neighborhood surrounding the initial cell; determine an energy sum of the neighborhood based on the indices and a value of respective cells from the integral image; determine an estimated noise associated with the initial cell based on the energy sum; and determine whether the initial cell indicates the detection of an object.
    Type: Grant
    Filed: July 11, 2019
    Date of Patent: October 12, 2021
    Assignee: GM GLOBAL TECHNOLOGY OPERATIONS LLC
    Inventors: Eyal Rittberg, Boris Indelman
  • Publication number: 20210011124
    Abstract: A system for classifying received signals from a radar system into noise or a detection includes a source of a radar energy map and a memory that stores an integral image data structure for computing an integral image. The system includes a processor in communication with the source and the memory programmed to: generate an initial image including initial cells each having an energy value based on the radar energy map; compute the integral image based on the initial image; determine a coordinate location of an initial cell; determine coordinate locations of indices associated with corners of a neighborhood surrounding the initial cell; determine an energy sum of the neighborhood based on the indices and a value of respective cells from the integral image; determine an estimated noise associated with the initial cell based on the energy sum; and determine whether the initial cell indicates the detection of an object.
    Type: Application
    Filed: July 11, 2019
    Publication date: January 14, 2021
    Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
    Inventors: Eyal Rittberg, Boris Indelman