November 30, 2025Communications EngineeringOpen Access

An autonomous drone swarm for detecting and tracking anomalies among dense vegetation

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Anomaly detection identified unusual targets with high precision of 93.2% and recall of 95.9%, enhancing safety measures.
Observed average positional accuracy reached 0.39 m due to advanced techniques in dense vegetation environments.
Application of particle swarm optimization allowed for effective tracking of occluded targets with minimal errors.
Current capabilities demonstrate promising improvements in using drone swarms for military and civil operations, anticipating larger formations soon.

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Autonomous drone swarm demonstrates improved anomaly detection, achieving high precision and recall, emphasizing efficient telemetry data management.

A 2025 study studied this question.

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Autonomous drone swarm demonstrates improved anomaly detection, achieving high precision and recall, emphasizing efficient telemetry data management.