UAV Flight Restriction Control for Dynamic Safe Distance
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Solution Overview
Problem
Current UAV flight restriction systems face challenges in accurately defining and maintaining safe distances from both stationary and moving objects due to unreliable geographical position signals, making it difficult to prevent collisions and comply with regulations.
Innovation Solution
A method and apparatus for controlling UAV flight by determining the relative location of the UAV to flight-restriction regions, calculating a flight-restriction distance based on safety factors related to object classification, movement characteristics, and communication delays, and generating instructions to maintain a safe distance, which can be dynamically updated and applied to both stationary and moving objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If fixed flight restriction zones are defined in advance based on geographical position signals, then stationary objects can be protected, but the system cannot effectively protect against moving objects and the accuracy is compromised by unreliable position signals
Solution Approach 1:
The patent transforms static flight restriction zones into dynamic virtual fences that continuously update based on real-time positions of both UAV and protected objects. The flight restriction region is recalculated whenever the protected object moves, ensuring continuous protection against moving objects while maintaining reliability through dynamic adaptation rather than fixed geographical boundaries
Solution Approach 2:
The system implements continuous feedback loops where the positions of protected objects are constantly monitored, and this information feeds back to update the flight restriction region boundaries. This feedback mechanism ensures that the virtual fences automatically adjust to the current state of protected objects, maintaining effectiveness whether objects are stationary or moving
2Reliability
If the flight restriction distance is increased to account for position signal inaccuracies, then safety margin is improved, but the operational flexibility and coverage area of the UAV is reduced
Solution Approach 1:
Instead of applying a uniform safety buffer throughout the entire flight restriction zone, the patent calculates the actual distance between the UAV and each protected object in real-time, and only restricts flight within the specific region where collision risk exists. This localised approach to safety enforcement maintains adequate protection margins while preserving UAV operational flexibility in areas where the increased buffer would be unnecessary
Solution Approach 2:
The system dynamically adjusts the flight restriction distance parameter based on real-time conditions including the relative positions of UAV and protected objects, their movement speeds, and signal accuracy requirements. This parameter adaptation allows the safety margin to be optimised for each specific situation rather than using a fixed conservative distance that would unnecessarily limit operational coverage
3Adaptability or versatility
If real-time tracking and dynamic calculation of flight restriction regions is implemented, then protection against moving objects is improved, but system complexity and computational requirements increase
Solution Approach 1:
The patent pre-defines protected objects and their associated safety parameters before UAV operation begins. These preliminary configurations include object identification, initial positions, and safety distance parameters that are stored in the system. This preliminary setup reduces real-time computational complexity by eliminating the need to identify and characterise protected objects during flight, requiring only position tracking and distance calculation
Solution Approach 2:
The system segments the flight restriction calculation into distinct functional modules: protected object position tracking, distance calculation, flight restriction region determination, and UAV path validation. This modular segmentation allows each component to be optimised independently and simplifies the overall system architecture, making the complex real-time tracking and dynamic calculation more manageable and efficient
Data Source
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AI summary
In an aspect, a method for controlling flight of an unmanned aerial vehicle (UAV) comprises: obtaining information about a location of an object of interest; calculating, during operation of the UAV, a flight-restricted distance for the UAV to maintain relative to the object of interest, wherein the flight-restricted distance is calculated based on a safety factor, wherein the safety factor is determined based on an object classification; and controlling flight of the UAV to maintain the flight-restricted distance relative to the object of interest.