面向移动车队监视任务的无人机动态路径规划方法及装置
By acquiring real-time convoy location information and parametric models of elliptical orbit formations, and dynamically optimizing the flight trajectory of drones, the problem of insufficient surveillance coverage in mobile convoy monitoring tasks is solved, achieving efficient surveillance results.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- NAT INNOVATION INST OF DEFENSE TECH PLA ACAD OF MILITARY SCI
- Filing Date
- 2026-06-18
- Publication Date
- 2026-07-17
AI Technical Summary
Existing UAV path planning methods are difficult to dynamically optimize flight trajectory parameters in real time for mobile convoy monitoring tasks, resulting in insufficient or redundant monitoring coverage and an inability to flexibly adapt to changes in convoy formation and sudden changes in driving speed.
By acquiring real-time vehicle location information, calculating the centroid and direction of motion, adjusting the UAV flight trajectory using an elliptical orbit formation parameterized model, and optimizing the major axis, minor axis, and angular velocity of the elliptical orbit online, with the goal of maximizing the total area of the monitored region, and combining flight speed and trajectory parameter range constraints, a sequential least squares quadratic programming algorithm is used for optimization.
It enables real-time, continuous, and efficient monitoring of dynamic vehicle fleets, significantly improving the quality of monitoring coverage and resource utilization efficiency in complex environments.
Smart Images
Figure CN122408796A_ABST