Patents by Inventor Jingxue Bi

Jingxue Bi 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).

  • Indoor structure segmentation method based on laser measurement point cloud
    Patent number: 12175596
    Abstract: The present disclosure discloses an indoor structure segmentation method based on a laser measurement point cloud. The method includes the following steps: inputting an indoor three-dimensional point cloud, and performing supervoxel segmentation of the point cloud using a toward better boundary preserved supervoxel (TBBPS) segmentation method based on a given initial resolution r to extract a plane supervoxel unit; extracting surface point units in surface supervoxels by means of curvatures and normal vector changes; fitting an indoor plane model based on plane supervoxels; fitting an indoor surface model using a cylindrical simplex based on surface points; and based on an ?-expansion optimization algorithm, allocating the extracted supervoxel units and surface point units to an optimal model, so as to realize unit classification and segmentation.
    Type: Grant
    Filed: March 7, 2023
    Date of Patent: December 24, 2024
    Assignees: Shandong Jianzhu University, Big Data Development Center, MARA, PRC
    Inventors: Fei Su, Yaohui Liu, Yingkun Du, Jingxue Bi, Guoqiang Zheng, Mingyang Yu
  • Indoor Structure Segmentation Method Based on Laser Measurement Point Cloud
    Publication number: 20240303916
    Abstract: The present disclosure discloses an indoor structure segmentation method based on a laser measurement point cloud. The method includes the following steps: inputting an indoor three-dimensional point cloud, and performing supervoxel segmentation of the point cloud using a toward better boundary preserved supervoxel (TBBPS) segmentation method based on a given initial resolution r to extract a plane supervoxel unit; extracting surface point units in surface supervoxels by means of curvatures and normal vector changes; fitting an indoor plane model based on plane supervoxels; fitting an indoor surface model using a cylindrical simplex based on surface points; and based on an ?-expansion optimization algorithm, allocating the extracted supervoxel units and surface point units to an optimal model, so as to realize unit classification and segmentation.
    Type: Application
    Filed: March 7, 2023
    Publication date: September 12, 2024
    Inventors: Fei Su, Yaohui Liu, Yingkun Du, Jingxue Bi, Guoqiang Zheng, Mingyang Yu