DroneShield-AI integrates six layers including sensor fusion, a new six-class drone threat taxonomy, and GNN for swarm analysis, reporting 96.1% accuracy and 142ms latency with public code release.
Drone remote controller rf signal dataset
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
ELC uses evidential uncertainty to enable selective prediction in lifelong radar pulse classification, improving recall by up to 46% at low SNR compared to a Bayesian alternative.
citing papers explorer
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DroneShield-AI: A Multi-Modal Sensor Fusion Framework for Real-Time Autonomous Drone Threat Detection, Behavioral Intent Classification, and Swarm Intelligence in Contested Airspace
DroneShield-AI integrates six layers including sensor fusion, a new six-class drone threat taxonomy, and GNN for swarm analysis, reporting 96.1% accuracy and 142ms latency with public code release.
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ELC: Evidential Lifelong Classifier for Uncertainty Aware Radar Pulse Classification
ELC uses evidential uncertainty to enable selective prediction in lifelong radar pulse classification, improving recall by up to 46% at low SNR compared to a Bayesian alternative.