UAV Geofence Control for Automatic Location-Based Flight Operations
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Solution Overview
Problem
Existing unmanned aerial vehicle (UAV) systems lack the ability to automatically perform specific operations based on predefined geographical locations, leading to inefficient and uncontrolled flight maneuvers.
Innovation Solution
A system that includes an unmanned aerial vehicle (UAV), boundary components, position components, and control components, which allow users to define specific operations for the UAV to perform when entering user-defined spaces, such as aerial maneuvers or capture operations, by tracking the UAV's position relative to fixed geographical boundaries.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If preconfigured flight control settings are used for UAVs, then flight control is simplified and easier to operate, but the settings cannot be individualized based on geographical location boundaries
Solution Approach 1:
The system assigns different flight control settings to different geographical locations by defining boundary spaces with specific coordinates. When the UAV enters a defined boundary space, the system automatically applies the flight control settings associated with that specific location, enabling location-adaptive operation while maintaining ease of use through automated setting selection.
2Extent of automation
If automated flight control is implemented without location-based settings, then flight control is more automated, but the UAV cannot automatically adjust operations based on specific geographical areas
Solution Approach 1:
The system performs preliminary actions by pre-defining boundary spaces with specific coordinates and associating flight control settings with each location before the UAV flight. The UAV automatically retrieves and applies the appropriate settings based on its real-time position within these pre-defined boundaries, achieving both high automation and location-specific adaptability.
3Adaptability or versatility
If manual flight control settings are used, then flight control can be customized for each operation, but the complexity of controlling the UAV increases
Solution Approach 1:
The system enables self-service by automatically selecting and applying the appropriate flight control settings based on the UAV's current position within defined boundary spaces. This eliminates the need for manual intervention to switch between different control configurations, reducing operational complexity while maintaining the ability to use customized settings for different locations.
Data Source
AI summary
This disclosure relates to systems and methods for controlling an unmanned aerial vehicle. Boundaries of a user-defined space may be obtained. The boundaries of the user-defined space may be fixed with respect to some reference frame. A user-defined operation associated with the user-selected space may be obtained. Position of the unmanned aerial vehicle may be tracked during an unmanned aerial flight. Responsive to the unmanned aerial vehicle entering the user-defined space, the unmanned aerial vehicle may be automatically controlled to perform the user-defined operation.