能量约束下UAV-USV协同探索海域目标的路径优化方法
By optimizing the number and location of charging stations, and combining improved ant colony and Lazy Theta algorithms, the path planning problem of USV-UAV systems in the sea area was solved, achieving efficient and smooth target exploration and accident monitoring in the sea area.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- DALIAN MARITIME UNIVERSITY
- Filing Date
- 2023-06-12
- Publication Date
- 2026-07-17
AI Technical Summary
The limited payload and vision capabilities of a single unmanned system make it difficult to complete complex marine exploration tasks. Existing technologies have failed to effectively utilize USV-UAV collaborative systems for marine target exploration and accident monitoring.
A greedy algorithm is used to optimize the number and location of charging stations. Combined with an improved ant colony algorithm and a Lazy Theta algorithm, the path planning of the USV-UAV cooperative system is optimized to ensure smooth paths and efficient coverage of accident-prone areas.
It improved the exploration efficiency of the USV-UAV cooperative system in the sea area, reduced resource waste, and enabled effective search and continuous monitoring of accident-prone areas.
Smart Images
Figure CN116795122B_ABST