UAV Multi-Sensor Calibration Using a Predetermined Flight Path
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Solution Overview
Problem
Conventional sensor calibration techniques for unmanned aerial vehicles (UAVs) require specialized equipment and complex procedures, making them cumbersome and inefficient, especially for outdoor environments where traditional calibration boards are not easily transportable or practical.
Innovation Solution
A method where the UAV moves along a predetermined calibration path, collecting sensor data without the need for specialized equipment, allowing for the calibration of multiple sensors using a unified and user-friendly process, which can be either manually or remotely controlled.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional sensor calibration techniques using specialized equipment and calibration boards are employed, then measurement precision can be maintained, but device complexity and ease of operation deteriorate due to cumbersome procedures and equipment requirements
Solution Approach 1:
The system uses the UAV's own sensors (accelerometer, gyroscope, magnetometer, barometer) to perform calibration without external specialized equipment. The sensors themselves generate the data needed for calibration by measuring the UAV's motion and orientation during flight maneuvers, making the system self-sufficient and eliminating complex external calibration boards or equipment.
Solution Approach 2:
The patent replaces mechanical calibration boards and physical alignment tools with an electronic/software-based solution. The calibration process is achieved through software algorithms that process sensor data collected during flight, substituting mechanical alignment procedures with computational methods that determine sensor spatial relationships based on measured acceleration, rotation, and pressure data.
2Measurement precision
If conventional calibration methods requiring specialized equipment are used, then measurement precision is maintained, but ease of operation and adaptability worsen due to difficulty in transporting calibration boards to outdoor environments
Solution Approach 1:
The UAV performs calibration using its own onboard sensors during normal flight operations. No external calibration boards or equipment need to be transported to the calibration site. The system collects necessary calibration data through flight maneuvers and processes this data to determine sensor spatial configurations, making the calibration process as portable as the UAV itself.
Solution Approach 2:
The calibration system is designed to work in diverse environments (indoor, outdoor, various weather conditions) without requiring specialized equipment. The same onboard sensors used for navigation and control are also used for calibration, making the system universally applicable across different operating conditions and eliminating the need for environment-specific calibration tools.
3Measurement precision
If conventional calibration procedures are followed, then measurement precision can be ensured, but productivity and time efficiency deteriorate due to lengthy and complex calibration processes
Solution Approach 1:
The calibration process is integrated into normal flight operations rather than being a separate, time-consuming procedure. Sensors continuously collect data during flight maneuvers, and the calibration computation can be performed in real-time or near real-time, eliminating idle calibration time and maintaining continuous productive operation of the UAV system.
Solution Approach 2:
Complex mechanical alignment procedures and manual calibration steps are replaced with automated software algorithms that process sensor data. The computation-based approach rapidly determines sensor spatial relationships from flight data, significantly reducing calibration time compared to manual mechanical alignment methods while maintaining precision.
Data Source
AI summary
A method includes generating one or more calibration instructions for calibrating one or more sensors coupled to a movable object and providing at least some of the one or more calibration instructions to a user interface. The at least some of the one or more calibration instructions includes human-readable user instructions for moving the movable object along a predetermined pattern. The method further includes calibrating one or more sensor parameters for the one or more sensors based at least in part on sensor data collected while the movable object moves along the predetermined pattern.