Patents by Inventor Shinan LIU

Shinan LIU 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: 20210358153
    Abstract: Example detecting methods and apparatus are described.
    Type: Application
    Filed: July 29, 2021
    Publication date: November 18, 2021
    Inventors: Yingjie CAI, Xingyu ZENG, Shinan LIU, Junjie YAN, Xiaogang WANG
  • Patent number: 11138756
    Abstract: A 3D object detection method includes: obtaining two-dimensional (2D) coordinates of at least one predetermined key point of a target object in an image to be processed; constructing a pseudo 3D detection body of the target object in a 2D space according to the 2D coordinates of the at least one predetermined key point; obtaining depth information of a plurality of vertices of the pseudo 3D detection body; and determining a 3D detection body of the target object in a 3D space according to the depth information of the plurality of vertices of the pseudo 3D detection body.
    Type: Grant
    Filed: April 1, 2020
    Date of Patent: October 5, 2021
    Assignees: SENSETIME GROUP LIMITED, HONDA MOTOR CO. LTD.
    Inventors: Yingjie Cai, Shinan Liu, Xingyu Zeng, Junjie Yan, Xiaogang Wang, Atsushi Kawamura, Yuji Yasui, Tokitomo Ariyoshi, Yuji Kaneda, Yuhi Goto
  • Patent number: 10984266
    Abstract: A vehicle lamp detection method includes: obtaining an image block including an image of a vehicle; and performing vehicle lamp detection on the image block by means of a deep neural network, to obtain a vehicle lamp detection result.
    Type: Grant
    Filed: September 30, 2019
    Date of Patent: April 20, 2021
    Assignee: BEIJING SENSETIME TECHNOLOGY DEVELOPMENT CO., LTD.
    Inventors: Shinan Liu, Xingyu Zeng, Junjie Yan, Xiaogang Wang
  • Publication number: 20210078597
    Abstract: Provided are a method and apparatus for determining an orientation of a target object, a method and apparatus for controlling intelligent driving, an electronic device, a computer-readable storage medium and a computer program. The method for determining an orientation of a target object includes that: a visible surface of a target object in an image is acquired; position information of multiple points in the visible surface in a horizontal plane of a Three-Dimensional (3D) space is acquired; and an orientation of the target object is determined based on the position information.
    Type: Application
    Filed: November 30, 2020
    Publication date: March 18, 2021
    Inventors: Yingjie CAI, Shinan LIU, Xingyu ZENG
  • Publication number: 20200327690
    Abstract: A 3D object detection method includes: obtaining two-dimensional (2D) coordinates of at least one predetermined key point of a target object in an image to be processed; constructing a pseudo 3D detection body of the target object in a 2D space according to the 2D coordinates of the at least one predetermined key point; obtaining depth information of a plurality of vertices of the pseudo 3D detection body; and determining a 3D detection body of the target object in a 3D space according to the depth information of the plurality of vertices of the pseudo 3D detection body.
    Type: Application
    Filed: April 1, 2020
    Publication date: October 15, 2020
    Applicants: SENSETIME GROUP LIMITED, HONDA MOTOR CO. LTD.
    Inventors: Yingjie CAI, Shinan LIU, Xingyu ZENG, Junjie YAN, Xiaogang WANG, Atsushi Kawamura, Yuji Yasui, Tokitomo Ariyoshi, Yuji Kaneda, Yuhi Goto
  • Publication number: 20200026936
    Abstract: A vehicle lamp detection method includes: obtaining an image block including an image of a vehicle; and performing vehicle lamp detection on the image block by means of a deep neural network, to obtain a vehicle lamp detection result.
    Type: Application
    Filed: September 30, 2019
    Publication date: January 23, 2020
    Applicant: BEIJING SENSETIME TECHNOLOGY DEVELOPMENT CO., LTD.
    Inventors: Shinan LIU, Xingyu ZENG, Junjie YAN, Xiaogang WANG