Patents by Inventor Gilad Saban

Gilad Saban 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: 20240193409
    Abstract: One embodiment of a method for accelerating a trained machine learning model includes parsing the trained machine learning model to identify one or more layers of the trained machine learning model and, for each layer included in the one or more layers, one or more corresponding compression techniques that can be applied to compress the layer, performing, based on a hardware device on which the trained machine learning model is intended to execute, one or more iterative operations to select, for each layer included in the one or more layers, a compression technique and values of one or more parameters associated with the compression technique, and compressing each layer included in the one or more layers using the compression technique that is selected for the layer and the values of the one or more parameters associated with the compression technique to generate a compressed trained machine learning model.
    Type: Application
    Filed: December 5, 2023
    Publication date: June 13, 2024
    Inventors: Michael KEMELMAKHER, Gilad SABAN, Naama KADOSH, Tatiana OSOKIN, Gil SHABAT
  • Patent number: 11727668
    Abstract: Disclosed herein are systems, methods, and computer program products for predicting movement of an object in a real-world environment. The methods comprise: obtaining a plurality of image frames captured in a sequence during a period of time; identifying first image frames of the plurality of image frames that contain an image of at least one object with one or more turn signals; analyzing the first image frames to obtain a classification for a pose of the at least one object; using the classification of the pose of the at least one object to further obtain a type classification for at least one of the turn signals and a state classification for a state of at least one of the turn signals; and predicting movement of the at least one object based at least on the type and state classifications obtained for at least one of the turn signals.
    Type: Grant
    Filed: November 7, 2022
    Date of Patent: August 15, 2023
    Assignee: ARGO AI, LLC
    Inventors: Rotem Littman, Gilad Saban, Noam Presman, Dana Berman, Asaf Kagan
  • Publication number: 20230091928
    Abstract: Disclosed herein are systems, methods, and computer program products for predicting movement of an object in a real-world environment. The methods comprise: obtaining a plurality of image frames captured in a sequence during a period of time; identifying first image frames of the plurality of image frames that contain an image of at least one object with one or more turn signals; analyzing the first image frames to obtain a classification for a pose of the at least one object; using the classification of the pose of the at least one object to further obtain a type classification for at least one of the turn signals and a state classification for a state of at least one of the turn signals; and predicting movement of the at least one object based at least on the type and state classifications obtained for at least one of the turn signals.
    Type: Application
    Filed: November 7, 2022
    Publication date: March 23, 2023
    Inventors: Rotem Littman, Gilad Saban, Noam Presman, Dana Berman, Asaf Kagan
  • Patent number: 11527078
    Abstract: A system uses video of a vehicle to detect and classify the vehicle's pose. The system generates an image stack by scaling and shifting a set of digital image frames from the video to a fixed scale, yielding a sequence of images over a time period. The system processes the image stack with a classifier to determine the pose of the object. The system also may determine state and class of visible turn signals on the object, as well as predict the vehicle's direction of travel.
    Type: Grant
    Filed: March 30, 2021
    Date of Patent: December 13, 2022
    Assignee: Argo AI, LLC
    Inventors: Rotem Littman, Gilad Saban, Noam Presman, Dana Berman, Asaf Kagan
  • Publication number: 20210216798
    Abstract: A system uses video of a vehicle to detect and classify the vehicle's pose. The system generates an image stack by scaling and shifting a set of digital image frames from the video to a fixed scale, yielding a sequence of images over a time period. The system processes the image stack with a classifier to determine the pose of the object. The system also may determine state and class of visible turn signals on the object, as well as predict the vehicle's direction of travel.
    Type: Application
    Filed: March 30, 2021
    Publication date: July 15, 2021
    Inventors: Rotem Littman, Gilad Saban, Noam Presman, Dana Berman, Asaf Kagan
  • Patent number: 11003928
    Abstract: A system uses video of a vehicle or other object to detect and classify an active turn sign on the object. The system generates an image stack by scaling and shifting a set of digital image frames from the video to a fixed scale, yielding a sequence of images over a time period. The system processes the image stack with a classifier to determine a pose of the object, as well as the state and class of each visible turn signals on the object. When the system determines that a turn signal is active, the system will predict an action that the object will take based on the class of that signal.
    Type: Grant
    Filed: August 8, 2019
    Date of Patent: May 11, 2021
    Assignee: Argo AI, LLC
    Inventors: Rotem Littman, Gilad Saban, Noam Presman, Dana Berman, Asaf Kagan
  • Publication number: 20210042542
    Abstract: A system uses video of a vehicle or other object to detect and classify an active turn sign on the object. The system generates an image stack by scaling and shifting a set of digital image frames from the video to a fixed scale, yielding a sequence of images over a time period. The system processes the image stack with a classifier to determine a pose of the object, as well as the state and class of each visible turn signals on the object. When the system determines that a turn signal is active, the system will predict an action that the object will take based on the class of that signal.
    Type: Application
    Filed: August 8, 2019
    Publication date: February 11, 2021
    Inventors: Rotem Littman, Gilad Saban, Noam Presman, Dana Berman, Asaf Kagan