Patents by Inventor Nidal Qwasmi

Nidal Qwasmi 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).

  • Three-dimensional object localization for obstacle avoidance using one-shot convolutional neural network
    Patent number: 11618438
    Abstract: Pixel image data of a scene is received in which the pixel image data includes a two-dimensional representation of an object in the scene. Point cloud data including three-dimensional point coordinates of a physical object within the scene corresponding to the two-dimensional representation of the object is received. The three-dimensional point coordinates include depth information of the physical object. The point cloud data is mapped to an image plane of the pixel image data to form integrated pixel image data wherein one or more pixels of the pixel image data have depth information integrated therewith. A three-dimensional bounding box is predicted for the object using a convolutional neural network based upon the integrated pixel image data.
    Type: Grant
    Filed: March 26, 2018
    Date of Patent: April 4, 2023
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Mudhakar Srivatsa, Swati Rallapalli, Nidal Qwasmi, Mahmood S. Ashek, Michael J. Giancola, Shehzad Noor Taus Priyo
  • THREE-DIMENSIONAL OBJECT LOCALIZATION FOR OBSTACLE AVOIDANCE USING ONE-SHOT CONVOLUTIONAL NEURAL NETWORK
    Publication number: 20190291723
    Abstract: Pixel image data of a scene is received in which the pixel image data includes a two-dimensional representation of an object in the scene. Point cloud data including three-dimensional point coordinates of a physical object within the scene corresponding to the two-dimensional representation of the object is received. The three-dimensional point coordinates include depth information of the physical object. The point cloud data is mapped to an image plane of the pixel image data to form integrated pixel image data wherein one or more pixels of the pixel image data have depth information integrated therewith. A three-dimensional bounding box is predicted for the object using a convolutional neural network based upon the integrated pixel image data.
    Type: Application
    Filed: March 26, 2018
    Publication date: September 26, 2019
    Applicant: International Business Machines Corporation
    Inventors: MUDHAKAR SRIVATSA, SWATI RALLAPALLI, Nidal Qwasmi, Mahmood S. Ashek, Michael J. Giancola, Shehzad Noor Taus Priyo