UAV Sensor Calibration via Autonomous Verification Tolerance
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Solution Overview
Problem
The calibration of cameras and sensors on unmanned aerial vehicles (UAVs) is a time-consuming process, delaying their departure and affecting operational efficiency, especially in aerial navigation tasks where precise sensor calibration is crucial.
Innovation Solution
The implementation of an autonomous verification and adjustment system that uses pre-flight calibration stations and software corrections to ensure camera and sensor calibration, utilizing markers and sensors to compare actual and processed information, allowing for continuous operation within tolerance ranges and full calibration when necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If full calibration is performed on UAV cameras and sensors, then measurement precision and navigation accuracy are improved, but the time required for pre-flight checks increases
Solution Approach 1:
The system performs verification of calibration rather than complete recalibration, checking whether calibration parameters are within acceptable tolerance ranges. This partial action approach maintains sufficient measurement precision while significantly reducing the time required compared to full calibration procedures.
Solution Approach 2:
The UAV autonomously verifies its own calibration status by comparing sensor data against known reference values or previously calibrated states. This self-verification capability eliminates the need for time-consuming manual calibration procedures while maintaining adequate calibration accuracy for navigation operations.
2Measurement precision
If strict calibration requirements are enforced, then navigation accuracy is improved, but operational efficiency and productivity decrease
Solution Approach 1:
The system enforces calibration requirements selectively by verifying whether calibration parameters fall within predefined tolerance ranges. When parameters are within acceptable ranges, full calibration is skipped, allowing operations to proceed efficiently while maintaining sufficient navigation accuracy through the verification process.
Solution Approach 2:
The system changes the calibration verification parameters by establishing acceptable tolerance ranges for calibration values. This allows navigation operations to proceed with reduced calibration stringency when parameters remain within acceptable bounds, thereby improving operational efficiency while maintaining adequate navigation accuracy.
3Reliability
If calibration verification is performed, then calibration quality is maintained, but device complexity increases
Solution Approach 1:
The system implements a feedback mechanism where calibration parameters are measured, compared against reference values or tolerance ranges, and used to determine whether calibration is adequate. This feedback loop maintains calibration quality by identifying when recalibration is needed while keeping the verification system relatively simple through automated decision-making.
Solution Approach 2:
The system introduces a calibration verification intermediary layer that sits between the sensors and the navigation processing. This intermediary performs automated checks of calibration parameters and either approves operation or triggers recalibration, maintaining calibration quality without requiring complex integrated calibration systems throughout the entire navigation pipeline.
Data Source
AI summary
This disclosure describes systems, methods, and apparatus for automating the verification of aerial vehicle sensors as part of a pre-flight, flight departure, in-transit flight, and/or delivery destination calibration verification process. At different stages, aerial vehicle sensors may obtain sensor measurements about objects within an environment, the obtained measurements may be processed to determine information about the object, as presented in the measurements, and the processed information may be compared with the actual information about the object to determine a variation or difference between the information. If the variation is within a tolerance range, the sensor may be auto adjusted and operation of the aerial vehicle may continue. If the variation exceeds a correction range, flight of the aerial vehicle may be aborted and the aerial vehicle routed for a full sensor calibration.