The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 20, 2026

Filed:

Feb. 21, 2024
Applicant:

Wuhan University, Hubei, CN;

Inventors:

Yongjun Zhang, Hubei, CN;

Weiwei Fan, Hubei, CN;

Xinyi Liu, Hubei, CN;

Assignee:

WUHAN UNIVERSITY, Hubei, CN;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 17/00 (2006.01); G01S 17/89 (2020.01); G06T 5/20 (2006.01); G06T 7/11 (2017.01); G06V 10/46 (2022.01); G06V 10/764 (2022.01);
U.S. Cl.
CPC ...
G06T 17/00 (2013.01); G01S 17/89 (2013.01); G06T 5/20 (2013.01); G06T 7/11 (2017.01); G06V 10/462 (2022.01); G06V 10/764 (2022.01);
Abstract

An airborne LiDAR point cloud filtering method based on super-voxel ground saliency is provided. The method begins by denoising the input LiDAR point cloud, employing a boundary-preserving TBBP super-voxel algorithm for super-voxel segmentation. The super-voxels are categorized into scanning bands in N directions based on their centroid coordinates. Subsequently, each direction's scanning bands are sorted, segmented, and their saliency values are computed. Utilizing saliency values as coordinating factors, an energy function for the optimal filtering plane is constructed and minimized, leading to the determination of the optimal segmentation plane. Ground and non-ground points are classified based on the segmentation plane, thereby establishing the point cloud filtering results. The use of super-voxel-based saliency calculation in this invention enables preliminary vertical filtering of target point clouds, addressing the challenge of misclassifying point clouds with concave structures as ground points.


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