Patents by Inventor Yiqian Lu

Yiqian Lu 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: 12333717
    Abstract: An infrared image sequence-based sleep quality evaluation system and method. The method comprises: obtaining a plurality of respiratory infrared image sequences to be evaluated, one respiratory infrared image sequence comprising a plurality of respiratory infrared image frames to be evaluated; performing sleep quality evaluation on each respiratory infrared image sequence in the plurality of respiratory infrared image sequences by means of a classifier to obtain a sleep quality evaluation result corresponding to each respiratory infrared image sequence; and counting the number of different sleep quality evaluation results according to the sleep quality evaluation results respectively corresponding to the plurality of respiratory infrared image sequences, and determining the sleep quality evaluation result with the largest number as a sleep quality evaluation result of a user.
    Type: Grant
    Filed: December 17, 2019
    Date of Patent: June 17, 2025
    Assignee: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY
    Inventors: Shuqiang Wang, Senrong You, Guobao Wu, Yiqian Lu, Fen Miao, Chitang Zhang
  • Patent number: 12315111
    Abstract: Disclosed by the present application are an image enhancement method and apparatus, a terminal device and a computer-readable storage medium.
    Type: Grant
    Filed: November 25, 2019
    Date of Patent: May 27, 2025
    Assignee: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY CHINESE ACADEMY OF SCIENCES
    Inventors: Shuqiang Wang, Senrong You, Yiqian Lu, Shengye Hu
  • Publication number: 20230022206
    Abstract: An infrared image sequence-based sleep quality evaluation system and method. The method comprises: obtaining a plurality of respiratory infrared image sequences to be evaluated, one respiratory infrared image sequence comprising a plurality of respiratory infrared image frames to be evaluated; performing sleep quality evaluation on each respiratory infrared image sequence in the plurality of respiratory infrared image sequences by means of a classifier to obtain a sleep quality evaluation result corresponding to each respiratory infrared image sequence; and counting the number of different sleep quality evaluation results according to the sleep quality evaluation results respectively corresponding to the plurality of respiratory infrared image sequences, and determining the sleep quality evaluation result with the largest number as a sleep quality evaluation result of a user.
    Type: Application
    Filed: December 17, 2019
    Publication date: January 26, 2023
    Inventors: Shuqiang WANG, Senrong YOU, Guobao WU, Yiqian LU, Fen MIAO, Chitang ZHANG
  • Publication number: 20220414849
    Abstract: Disclosed by the present application are an image enhancement method and apparatus, a terminal device and a computer-readable storage medium.
    Type: Application
    Filed: November 25, 2019
    Publication date: December 29, 2022
    Applicant: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY CHINESE ACADEMY OF SCIENCES
    Inventors: Shuqiang WANG, Senrong YOU, Yiqian LU, Shengye HU
  • Patent number: 11099275
    Abstract: A LiDAR point cloud reflection intensity complementation method includes: acquiring a grayscale image and an original point cloud of a same road surface using a calibrated vehicle-mounted webcam and LiDAR; extracting edge information of the grayscale image using a preset edge extraction strategy, to obtain an edge image of the grayscale image; preprocessing the original point cloud to obtain an original point cloud reflection intensity projection image and an interpolated complementary point cloud reflection intensity projection image; and inputting the grayscale image, the edge image of the grayscale image, the original point cloud reflection intensity projection image and the interpolated complementary point cloud reflection intensity projection image into a pre-trained point cloud reflection intensity complementation model, and outputting a complementary point cloud reflection intensity projection image. A LiDAR point cloud reflection intensity complementation system is further provided.
    Type: Grant
    Filed: March 26, 2021
    Date of Patent: August 24, 2021
    Assignee: TSINGHUA UNIVERSITY
    Inventors: Xinyu Zhang, Zhiwei Li, Huaping Liu, Yiqian Lu, Yuchao Liu