UAV Airframe Orientation Detection Using Port Sign Imaging
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Solution Overview
Problem
In unmanned aerial vehicles (UAVs), determining the airframe orientation based on magnetic sensor readings can be inaccurate when geomagnetism is disturbed, leading to inappropriate detection of the UAV's orientation.
Innovation Solution
An information processing device and method that utilize a camera on the UAV to capture images of signs attached to the port, allowing for the detection of the UAV's airframe orientation based on the position and indication of these signs, independent of magnetic sensor readings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If magnetic sensor is used to detect airframe orientation, then the detection method is simple, but the detection accuracy deteriorates when geomagnetism is disturbed
Solution Approach 1:
The patent replaces the magnetic sensor-based detection system with a camera-based visual detection system. Instead of relying on magnetic fields to determine airframe orientation, the system uses image capture and processing to detect the orientation of the UAV by analyzing the position and indication of signs in the captured images, thereby eliminating the accuracy degradation caused by geomagnetic disturbance.
Solution Approach 2:
The patent introduces signs as intermediary objects placed in the detection area. These signs serve as visual references that the camera captures, allowing the system to indirectly determine airframe orientation through image analysis rather than direct magnetic field measurement, thus resolving the accuracy issue while maintaining system simplicity.
2Productivity
If magnetic sensor detection is used, then the pre-flight inspection process is fast, but the reliability deteriorates in disturbed geomagnetic environments
Solution Approach 1:
The patent substitutes the magnetic sensor detection mechanism with an optical detection mechanism using a camera. This replacement maintains the speed of the pre-flight inspection process while significantly improving reliability in environments with disturbed geomagnetism, as the camera-based system is not affected by magnetic field anomalies.
Solution Approach 2:
The patent changes the detection parameter from magnetic field strength/direction to visual image data. By transforming the detection basis from magnetic parameters to optical parameters (image pixels, sign positions), the system achieves both maintained productivity and improved reliability, as image processing can be performed rapidly without being influenced by geomagnetic conditions.
Data Source
AI summary
The management server 3 acquires the image information indicating the image that includes at least a part of the sign attached in advance in the port P where the UAV 1 is placed and is captured by the camera of the UAV 1, and detects the airframe orientation of the UAV 1 on the basis of at least one of the position of the sign and the indication of the sign in the image indicated by the image information.


