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, alongside 10 external citations. Polarity classification is still indexing.
2
Pith papers citing it
10
external citations · OpenAlex
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
-
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.
-
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.