Patents by Inventor Yangleijing LI

Yangleijing LI 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).

  • Methods and systems for adaptive slope-based denoising of single-photon lidar point clouds
    Patent number: 12675853
    Abstract: A method for adaptive slope-based denoising of single-photon LiDAR point clouds is provided, including: determining an adaptive slope value of the point cloud data; selecting point cloud data to be accessed, and constructing a quadrilateral denoising kernel of a preset size with the point cloud data to be accessed as a center; after deforming the quadrilateral denoising kernel according to an adaptive slope value, scaling in equal proportion and determining an along-track vertex distance of each piece of point cloud data; after scaling, designating point cloud data with a smallest along-track vertex distance as new point cloud data to be accessed, and repeating the above operations until all point cloud data becomes accessed point cloud data; according to the reachable distance of each piece of accessed point cloud data, determining a reachable distance threshold using Otsu's Thresholding (OTSU) algorithm, and removing the accessed point cloud data as a noise point.
    Type: Grant
    Filed: July 30, 2025
    Date of Patent: July 7, 2026
    Assignee: GUILIN UNIVERSITY OF TECHNOLOGY
    Inventors: Guoqing Zhou, Yongkai Zhou, Yangleijing Li
  • METHODS AND SYSTEMS FOR ADAPTIVE SLOPE-BASED DENOISING OF SINGLE-PHOTON LIDAR POINT CLOUDS
    Publication number: 20260038096
    Abstract: A method for adaptive slope-based denoising of single-photon LiDAR point clouds is provided, including: determining an adaptive slope value of the point cloud data; selecting point cloud data to be accessed, and constructing a quadrilateral denoising kernel of a preset size with the point cloud data to be accessed as a center; after deforming the quadrilateral denoising kernel according to an adaptive slope value, scaling in equal proportion and determining an along-track vertex distance of each piece of point cloud data; after scaling, designating point cloud data with a smallest along-track vertex distance as new point cloud data to be accessed, and repeating the above operations until all point cloud data becomes accessed point cloud data; according to the reachable distance of each piece of accessed point cloud data, determining a reachable distance threshold using Otsu's Thresholding (OTSU) algorithm, and removing the accessed point cloud data as a noise point.
    Type: Application
    Filed: July 30, 2025
    Publication date: February 5, 2026
    Applicant: GUILIN UNIVERSITY OF TECHNOLOGY
    Inventors: Guoqing ZHOU, Yongkai ZHOU, Yangleijing LI