DroneShield-AI: A Multi-Modal Sensor Fusion Framework for Real-Time Autonomous Drone Threat Detection, Behavioral Intent Classification, and Swarm Intelligence in Contested Airspace
Researchers have developed DroneShield-AI, an open framework designed to detect and classify threats from autonomous drones in real-time. The system integrates multiple sensor inputs, including radio frequency signals, acoustic signatures, and visual data processed by YOLOv8. It features a novel behavioral intent classification engine and a graph neural network module for analyzing drone swarm intelligence. The framework demonstrated high accuracy in detecting drone threats and predicting their behavior, with all associated code and models made publicly available. AI
IMPACT Enhances real-time threat detection capabilities for autonomous drone systems, potentially improving airspace security.