一种运动飞行目标的光学跟踪方法及系统
By combining real-time data collected by the drone's sensor array with environmental maps, the system identifies obstructions and conflict points, dynamically adjusts the tracker's role, and solves the obstruction problem of drone tracking systems in complex environments, achieving stable and efficient target object tracking.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- INST OF MACHINERY MFG TECH CHINA ACAD OF ENG PHYSICS
- Filing Date
- 2025-10-31
- Publication Date
- 2026-07-17
AI Technical Summary
Existing drone tracking systems are susceptible to obstructions in complex environments, leading to tracking interruptions or decreased accuracy, and thus failing to meet the requirements for high accuracy and high efficiency tracking.
The drone's sensor array collects target object status data in real time, calculates real-time coordinates, and combines them with the environmental map to predict flight trajectory. It also identifies obstruction points and conflict points, calculates drone utility value, dynamically adjusts the roles of master and slave trackers, acquires multi-view status data, and generates real-time trajectory.
It improves the accuracy of target object coordinate and trajectory recognition, avoids tracking interruptions caused by occlusion, ensures the stability and accuracy of the tracking process, and is suitable for complex environments.
Smart Images
Figure CN121386892B_ABST