Patents by Inventor Wanzhi Zhang

Wanzhi Zhang 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).

  • Deep learning-based camera calibration
    Patent number: 11715237
    Abstract: Provided are methods for deep learning-based camera calibration, which can include receiving first and second images captured by a camera, processing the first image using a first neural network to determine a depth of the first image, processing the first image and the second image using a second neural network to determine a transformation between a pose of the camera for the first image and a pose of the camera for the second image, generating a projection image based on the depth of the first image, the transformation of the pose of the camera, and intrinsic parameters of the camera, comparing the second image and the projection image to determine a reprojection error, and adjusting at least one of the intrinsic parameters of the camera based on the reprojection error. Systems and computer program products are also provided.
    Type: Grant
    Filed: April 4, 2022
    Date of Patent: August 1, 2023
    Assignee: Motional AD LLC
    Inventors: Yimu Wang, Wanzhi Zhang
  • DEEP LEARNING-BASED CAMERA CALIBRATION
    Publication number: 20220375129
    Abstract: Provided are methods for deep learning-based camera calibration, which can include receiving first and second images captured by a camera, processing the first image using a first neural network to determine a depth of the first image, processing the first image and the second image using a second neural network to determine a transformation between a pose of the camera for the first image and a pose of the camera for the second image, generating a projection image based on the depth of the first image, the transformation of the pose of the camera, and intrinsic parameters of the camera, comparing the second image and the projection image to determine a reprojection error, and adjusting at least one of the intrinsic parameters of the camera based on the reprojection error. Systems and computer program products are also provided.
    Type: Application
    Filed: April 4, 2022
    Publication date: November 24, 2022
    Inventors: Yimu Wang, Wanzhi Zhang
  • Deep learning-based camera calibration
    Patent number: 11295477
    Abstract: Provided are methods for deep learning-based camera calibration, which can include receiving first and second images captured by a camera, processing the first image using a first neural network to determine a depth of the first image, processing the first image and the second image using a second neural network to determine a transformation between a pose of the camera for the first image and a pose of the camera for the second image, generating a projection image based on the depth of the first image, the transformation of the pose of the camera, and intrinsic parameters of the camera, comparing the second image and the projection image to determine a reprojection error, and adjusting at least one of the intrinsic parameters of the camera based on the reprojection error. Systems and computer program products are also provided.
    Type: Grant
    Filed: May 19, 2021
    Date of Patent: April 5, 2022
    Assignee: Motional AD LLC
    Inventors: Yimu Wang, Wanzhi Zhang