UAV Control Handover Based on Visual Recognition Verification
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Solution Overview
Problem
Existing unmanned aerial vehicle (UAV) control systems face challenges in ensuring stability during the transfer of operation authority from one operator to another, especially when the second operator does not visually recognize the UAV, leading to potential instability and unsafe operations.
Innovation Solution
The implementation of a control system that includes flight control means, determination means, and switching means to ensure the UAV operates based on instructions from either the first or second operator depending on visual recognition, with restrictions on switching authority transfer until visual recognition is confirmed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If operation authority is transferred from first operator to second operator without visual recognition verification, then switching speed is improved, but flight stability deteriorates
Solution Approach 1:
The system performs preliminary verification of visual recognition conditions before allowing authority transfer. The determination means checks whether the second operator visually recognizes the UAV in advance, and only permits switching when this condition is satisfied, thereby preventing unstable flight conditions while enabling relatively quick transfer.
2Stability of the object's composition
If operation authority transfer is restricted until visual recognition is confirmed, then flight stability is improved, but switching speed deteriorates
Solution Approach 1:
The system implements feedback by continuously monitoring whether the second operator visually recognizes the UAV and using this information to control the switching process. The determination means provides real-time feedback on visual recognition status, allowing the switching means to make informed decisions about when to permit authority transfer, thus balancing stability and speed.
3Measurement precision
If visual recognition determination is performed continuously, then switching accuracy is improved, but system complexity increases
Solution Approach 1:
The system extracts the visual recognition determination function as a separate determination means module, distinct from the flight control and switching functions. This modular extraction allows for precise visual recognition checking without unnecessarily complicating the overall control system, as each module has a specific, well-defined role.
Data Source
AI summary
Stability of an unmanned aerial vehicle is sought by using a flight controller of an unmanned aerial vehicle control system for controlling flying by an unmanned aerial vehicle based on an instruction from a first operator. A determiner is used to determine whether a second operator visually recognizes the unmanned aerial vehicle based on a predetermined determination method. A switcher is used to switch, based on a result of the determination obtained by the determiner, from a first state, in which the unmanned aerial vehicle flies in accordance with an instruction from the first operator, to a second state, in which the unmanned aerial vehicle flies in accordance with an instruction from the second operator.