Autonomous UAV Interception via Machine Vision
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Solution Overview
Problem
Unmanned aerial vehicles (UAVs) pose risks due to malicious use, and existing control methods require human intervention, which can be impractical or unsafe, especially when communication between the UAV and controller is lost or unreliable.
Innovation Solution
An autonomous interceptor UAV system using machine vision and multimodal sensors to detect and track target UAVs, allowing for autonomous navigation and capture, even in situations where human intervention is not possible.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual flight control is used, then human user can control the aerial vehicle, but human user must have visual sight and react quickly which is challenging when unavailable or communication is lost
Solution Approach 1:
The aerial vehicle performs flight control operations autonomously using onboard sensors and processors to detect targets and execute interception maneuvers without requiring continuous human intervention or visual monitoring
Solution Approach 2:
Manual mechanical control operations are replaced with automated computer vision-based detection and control systems that process sensor data and generate flight commands automatically
2Extent of automation
If autonomous interception system is implemented, then operation can proceed without human intervention, but system complexity increases with multiple sensors and processors
Solution Approach 1:
The aerial vehicle system performs multiple functions including target detection, tracking, and interception using integrated sensors and processors that serve both navigation and combat operations
Solution Approach 2:
Multiple sensing functions and processing operations are merged into an integrated autonomous control system that coordinates sensor data acquisition, target recognition, and flight control operations
Data Source
AI summary
A flight control operation of a reference aerial vehicle is performed. For example, an image captured by an image sensor of the reference aerial vehicle is received. A target is detected in the image. A three-dimensional relative location of the target with respect to the reference aerial vehicle is determined based on the image. The flight control operation is performed based on the three-dimensional relative location of the target with respect to the reference aerial vehicle.