Dual-Camera Orientation Calibration for UAV Trajectory Control
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Solution Overview
Problem
Unmanned aerial vehicles (UAVs) face challenges in accurately controlling their trajectory and orientation relative to external objects due to limitations in relative image capture device calibration, which affects their ability to navigate through complex environments with obstacles.
Innovation Solution
The implementation of a system that includes a fixed orientation image capture device and an adjustable orientation image capture device, along with a processor that uses feature correlation data to obtain relative image capture device orientation calibration, allowing the UAV to determine the three-dimensional orientation of external objects and adjust its trajectory accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single image capture device is used, then the device complexity is reduced, but the measurement precision of relative orientation and three-dimensional object orientation deteriorates
Solution Approach 1:
The system divides the image capture function into two separate devices: a fixed orientation image capture device and an adjustable orientation image capture device. Each device has a specialized function, with the fixed device providing stable reference images and the adjustable device providing flexible viewing angles. This segmentation allows each device to be optimized for its specific purpose, improving overall measurement precision while keeping individual device complexities manageable.
Solution Approach 2:
The system transitions from single-device two-dimensional imaging to multi-device three-dimensional spatial measurement. By combining images from the fixed orientation device and adjustable orientation device, the system calculates relative orientation calibration data and three-dimensional object orientation data, adding a dimensional aspect to the measurement capability that improves precision.
2Measurement precision
If relative image capture device orientation calibration is not performed, then the device complexity and processing time are reduced, but the navigation accuracy and trajectory control precision deteriorate
Solution Approach 1:
The system performs relative orientation calibration in advance by obtaining calibration data from images captured by both devices before actual navigation operations. This preliminary calibration establishes the spatial relationship between the fixed and adjustable orientation devices, so that when navigation occurs, the trajectory control can use pre-computed calibration data, reducing real-time processing requirements and improving responsiveness.
Solution Approach 2:
The system uses feature correlation data from images captured by both devices to compute relative orientation calibration data, which then feeds into trajectory control decisions. This feedback loop allows the system to continuously refine its understanding of the spatial relationships between devices and objects, improving trajectory control precision while managing processing time through efficient correlation algorithms.
Data Source
AI summary
Controlling an unmanned aerial vehicle may include obtaining a first image from a fixed orientation image capture device of the unmanned aerial vehicle, obtaining a second image from an adjustable orientation image capture device of the unmanned aerial vehicle, obtaining feature correlation data based on the first image and the second image, obtaining relative image capture device orientation calibration data based on the feature correlation data, the relative image capture device orientation calibration data indicating an orientation of the adjustable orientation image capture device relative to the fixed orientation image capture device, obtaining relative object orientation data based on the relative image capture device orientation calibration data, the relative object orientation data representing a three-dimensional orientation of an external object relative to the adjustable orientation image capture device, and controlling a trajectory of the unmanned aerial vehicle in response to the relative object orientation data.