An unmanned aerial vehicle layered exploration method based on gravity mechanism view point generation
By adopting a hierarchical exploration method based on gravity mechanism viewpoint generation, the problem of efficiency and accuracy conflict between UAVs in multi-scale environments is solved, and efficient and high-precision autonomous exploration by UAVs is achieved.
Patent Information
- Application Number
- CN202411140096.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-08-20
- Publication Date
- 2026-05-01
- Estimated Expiration
- 2044-08-20
AI Technical Summary
Existing autonomous exploration methods for UAVs struggle to simultaneously guarantee high efficiency and high precision in multi-scale environments, especially when both wide and narrow scenarios coexist, resulting in either high exploration efficiency but insufficient precision, or high precision but low efficiency.
A hierarchical exploration method based on gravity mechanism viewpoint generation is adopted. Sensor pose and depth images are acquired through a forward-looking depth camera, a global map is incrementally constructed, the frontier is updated using an overlapping region judgment mechanism, viewpoints are generated by combining narrow-path gravity mechanism and interactive lateral gravity mechanism, and waypoint sequence is solved using ATSP cost matrix to achieve hierarchical exploration.
Achieving high-precision and high-efficiency exploration missions in multi-scale environments reduces the phenomenon of UAVs loitering in narrow scenes and unnecessary long-distance maneuvers in wide scenes, thereby improving exploration efficiency and accuracy.