Patents by Inventor Yunfei Long

Yunfei Long 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).

  • Patent number: 12061253
    Abstract: A computer includes a processor and a memory storing instructions executable by the processor to receive radar data from a radar, the radar data including radar pixels having respective measured depths; receive camera data from a camera, the camera data including an image frame including camera pixels; map the radar pixels to the image frame; generate respective regions of the image frame surrounding the respective radar pixels; for each region, determine confidence scores for the respective camera pixels in that region; output a depth map of projected depths for the respective camera pixels based on the confidence scores; and operate a vehicle including the radar and the camera based on the depth map. The confidence scores indicate confidence in applying the measured depth of the radar pixel for that region to the respective camera pixels.
    Type: Grant
    Filed: June 3, 2021
    Date of Patent: August 13, 2024
    Assignees: Ford Global Technologies, LLC, Board of Trustees of Michigan State University
    Inventors: Yunfei Long, Daniel Morris, Xiaoming Liu, Marcos Paul Gerardo Castro, Praveen Narayanan, Punarjay Chakravarty
  • Publication number: 20240264276
    Abstract: A computer that includes a processor and a memory, the memory including instructions executable by the processor to generate radar data by projecting radar returns of objects within a scene onto an image plane of camera data of the scene based on extrinsic and intrinsic parameters of a camera and extrinsic parameters of a radar sensor to generate the radar data. The image data can be received at an image channel of an image/radar convolutional neural network (CNN) and receive the radar data at a radar channel of the image/radar CNN, wherein features are transferred from the image channel to the radar channel at multiple stages Image object features and image confidence scores can be determined by the image channel, and radar object features and radar confidences by the radar channel. The image object features can be combined with the radar object features using a weighted sum.
    Type: Application
    Filed: January 26, 2024
    Publication date: August 8, 2024
    Applicants: Ford Global Technologies, LLC, Board of Trustees of Michigan State University
    Inventors: Yunfei Long, Daniel Morris, Abhinav Kumar, Xiaoming Liu, Marcos Paul Gerardo Castro, Punarjay Chakravarty, Praveen Narayanan
  • Publication number: 20230023347
    Abstract: A computer includes a processor and a memory storing instructions executable by the processor to receive radar data including a radar pixel having a radial velocity from a radar; receive camera data including an image frame including camera pixels from a camera; map the radar pixel to the image frame; generate a region of the image frame surrounding the radar pixel; determine association scores for the respective camera pixels in the region; select a first camera pixel of the camera pixels from the region, the first camera pixel having a greatest association score of the association scores; and calculate a full velocity of the radar pixel using the radial velocity of the radar pixel and a first optical flow at the first camera pixel. The association scores indicate a likelihood that the respective camera pixels correspond to a same point in an environment as the radar pixel.
    Type: Application
    Filed: July 23, 2021
    Publication date: January 26, 2023
    Applicants: Ford Global Technologies, LLC, Board of Trustees of Michigan State University
    Inventors: Xiaoming Liu, Daniel Morris, Yunfei Long, Marcos Paul Gerardo Castro, Punarjay Chakravarty, Praveen Narayanan
  • Publication number: 20220390591
    Abstract: A computer includes a processor and a memory storing instructions executable by the processor to receive radar data from a radar, the radar data including radar pixels having respective measured depths; receive camera data from a camera, the camera data including an image frame including camera pixels; map the radar pixels to the image frame; generate respective regions of the image frame surrounding the respective radar pixels; for each region, determine confidence scores for the respective camera pixels in that region; output a depth map of projected depths for the respective camera pixels based on the confidence scores; and operate a vehicle including the radar and the camera based on the depth map. The confidence scores indicate confidence in applying the measured depth of the radar pixel for that region to the respective camera pixels.
    Type: Application
    Filed: June 3, 2021
    Publication date: December 8, 2022
    Applicants: Ford Global Technologies, LLC, Board of Trustees of Michigan State University
    Inventors: Yunfei Long, Daniel Morris, Xiaoming Liu, Marcos Paul Gerardo Castro, Praveen Narayanan, Punarjay Chakravarty
  • Patent number: D1018584
    Type: Grant
    Filed: January 28, 2022
    Date of Patent: March 19, 2024
    Assignee: Siemens Healthcare GmbH
    Inventors: Yunfei Long, Anja Wohlfahrt, Xinran Fan