UAV Visual Landing Control With Marker Tracking Feedback
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Solution Overview
Problem
Existing UAV landing technologies are insufficient due to reliance on GPS signals that may be unavailable or imprecise, and vision-based systems struggle with maintaining the target marker within the camera's field of view as the UAV moves, affecting landing reliability and precision.
Innovation Solution
A computer-implemented method for an unmanned aerial vehicle (UAV) that detects a target marker through multiple images, determines its spatial relationship, and controls the UAV to approach while maintaining the marker within the camera's field of view, using processors to adjust the imaging device's position and the UAV's movement to ensure accurate landing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If vision-based systems are used to detect target markers for UAV landing, then GPS signal dependency is reduced, but the target marker may fall outside the camera's field of view as the UAV moves, reducing landing reliability
Solution Approach 1:
The system continuously captures images, detects the target marker position, and uses this feedback to adjust the imaging device's orientation and UAV's movement in real-time, ensuring the marker remains within the field of view throughout the landing approach
Solution Approach 2:
The imaging device is made dynamically adjustable through pan and tilt mechanisms that can change orientation in real-time, allowing the system to adapt to UAV movement and maintain continuous visual contact with the target marker
2Productivity
If the UAV moves quickly to reduce landing time, then productivity improves, but the target marker may quickly leave the field of view, reducing measurement precision
Solution Approach 1:
The system uses real-time feedback from continuous image capture and marker detection to dynamically adjust the imaging device's pan and tilt angles, allowing the UAV to maintain high approach speeds while keeping the marker centered in the field of view
Solution Approach 2:
The imaging device continuously tracks the marker throughout the entire landing approach, ensuring uninterrupted visual contact and continuous spatial relationship calculation, which enables high-speed approach without losing tracking accuracy
3Manufacturing precision
If the imaging device is made adjustable to track the target marker, then device complexity increases, but landing precision improves
Solution Approach 1:
The imaging device is designed with multi-functionality, serving both as the primary detection sensor and as a tracking device with pan and tilt capabilities, eliminating the need for separate tracking mechanisms and reducing overall system complexity
Solution Approach 2:
The marker detection and tracking functions are merged into a single integrated system where the same imaging device performs both tasks, and the control system combines spatial relationship calculation with tracking control for unified management
Data Source
AI summary
A computer-implemented method for controlling an unmanned aerial vehicle (UAV) includes detecting a target marker based on a plurality of images captured by an imaging device carried by the UAV, determining a spatial relationship between the UAV and the target marker based at least in part on the plurality of images, and controlling the UAV to approach the target marker based at least in part on the spatial relationship while controlling the imaging device to track the target marker such that the target marker remains within a field of view of the imaging device.