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:
Jul. 21, 2026

Filed:

Jul. 09, 2024
Applicant:

Wuhan University, Wuhan, CN;

Inventors:

Xinlian Liang, Wuhan, CN;

Haiyun Yao, Wuhan, CN;

Assignee:

Wuhan University, Wuhan, CN;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G05D 1/229 (2024.01); G05D 1/622 (2024.01); G05D 1/644 (2024.01); G05D 101/00 (2024.01); G05D 105/80 (2024.01); G05D 109/20 (2024.01);
U.S. Cl.
CPC ...
G05D 1/229 (2024.01); G05D 1/622 (2024.01); G05D 1/6445 (2024.01); G05D 2101/00 (2024.01); G05D 2105/87 (2024.01); G05D 2109/20 (2024.01);
Abstract

The present disclosure belongs to a field of UAVs exploration technology, discloses a high-efficient autonomous exploration method, system, and terminal for UAVs, comprising: S1, heuristic waypoint generation: setting an exploration scope and waypoint spacing, and generating waypoints through waypoint generation algorithms; S2, global path planning: after generating heuristic waypoints, an A * algorithm is used to generate the global planning path; S3, real-time positioning and mapping: using point clouds for real-time positioning and mapping; S4, local B-spline trajectory generation: using B-spline parameterization method to generate local trajectories; S5, real-time obstacle avoidance and dynamic feasibility constraints: optimizing the trajectories to achieve fast convergence, generating smooth, collision-free, and dynamically feasible trajectories; S6, local real-time replanning: using a time sliding window for local replanning; S7, flight control: Using UAV control algorithms for controlling of UAVs robustly.


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