Training a CNN on a dataset augmented across defender number, motion, and noise yields more accurate swarm-tactic classification, and optimizing defender trajectories against the trained network can raise its confidence (STP) and reduce the number of defenders needed.
Report on Applied Research Directions and Future Opportunities for Swarm Systems in Defence,
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Swarm Characteristic Classification using Robust Neural Networks with Optimized Controllable Inputs
Training a CNN on a dataset augmented across defender number, motion, and noise yields more accurate swarm-tactic classification, and optimizing defender trajectories against the trained network can raise its confidence (STP) and reduce the number of defenders needed.