UAV Flight Route Control for 3D Point Cloud Overlap
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Solution Overview
Problem
Conventional aerial photography methods for unmanned aerial vehicles (UAVs) are complex and difficult to operate, leading to challenges in accurately extracting feature points and matching homonymous points for three-dimensional modeling, resulting in low overlapping ratios and incomplete three-dimensional point cloud recovery.
Innovation Solution
A control method and device for UAVs that acquires shooting control information including the height of the target object, mission height, and overlapping ratio to determine the target flight route and shooting interval, ensuring a high overlapping ratio in captured images by setting the starting plane for computing the overlapping ratio as the plane where the target object is located.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual control method is used for aerial photography, then operational flexibility is maintained, but operation complexity increases and shooting efficiency decreases
Solution Approach 1:
The system enables the UAV to automatically plan its own flight route and determine shooting intervals based on pre-set parameters (overlapping ratio, mission height, target height). The control device autonomously calculates the optimal flight path and shooting timing without requiring continuous manual intervention, allowing the system to serve itself in the photography task while maintaining operational flexibility through programmable parameters.
Solution Approach 2:
The patent transforms manual control into automated control by changing the operational parameters from real-time human decisions to pre-configured systematic parameters (overlapping ratio, mission height, target height). This parameter-based approach allows the system to automatically adjust flight route and shooting intervals based on the mathematical relationships between these parameters, resolving the contradiction between operational simplicity and shooting efficiency.
2Measurement precision
If conventional aerial photography method is used, then operational flexibility is maintained, but feature point extraction accuracy decreases
Solution Approach 1:
The system performs preliminary calculation of the flight route and shooting intervals before actual photography based on pre-set parameters. By pre-determining the optimal path and timing that guarantee sufficient overlapping ratio, the system ensures that feature points are captured with adequate redundancy before the shooting task begins, thereby improving feature point extraction accuracy without adding operational complexity during execution.
Solution Approach 2:
The system incorporates feedback mechanisms where the actual shooting results are evaluated against the pre-set overlapping ratio requirements. The control device uses the relationship between flight route, shooting interval, and overlapping ratio to adjust and optimize the photography process, ensuring that feature points are captured with sufficient accuracy while maintaining simple operation through automated control.
3Reliability
If overlapping ratio is not optimized, then shooting coverage area increases, but three-dimensional point cloud recovery completeness decreases
Solution Approach 1:
The patent establishes a mathematical relationship between overlapping ratio, mission height, target height, flight route, and shooting interval. By treating overlapping ratio as a key controlled parameter with preset values, the system automatically adjusts other parameters (flight route, shooting interval) to maintain the required overlapping ratio. This ensures sufficient image overlap for complete point cloud recovery while optimizing the shooting coverage area through parameter coordination.
Solution Approach 2:
The system dynamically adjusts the flight route and shooting interval based on the preset overlapping ratio requirement. Rather than using fixed parameters, the control device calculates and modifies the flight path and shooting timing in real-time to maintain the optimal overlapping ratio throughout the photography task, ensuring point cloud recovery completeness while adapting to different shooting scenarios and coverage requirements.
Data Source
AI summary
A control method and device for an unmanned aerial vehicle, and a non-transitory computer readable storage medium are provided. The control method may include: acquiring shooting control information, the shooting control information including a height of a shooting target object, a mission height, and an overlapping ratio; determining the target flight route and a shooting interval based upon the shooting control information; and controlling an unmanned aerial vehicle to fly according to the target flight route and to photograph the shooting target object according to the shooting interval by using a photographing device during the flight. The mission height may be a distance between a plane where a target flight route is located and a plane where the shooting target object is located, and a starting plane for computing the overlapping ratio may be the plane where the shooting target is located.