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Review of AI-augmented multisensor architectures for detecting and neutralizing UAV threats

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Review discusses advanced C-UAS technologies for accurate detection and neutralization of UAV threats.

Detection methodologies utilize deep learning for visual recognition and thermal imaging, improving UAV threat identification.
Performance metrics highlight precision rates and operational range, indicating the effectiveness of current counter-drone systems.
Integrated sensor systems employ attention mechanisms, demonstrating advancements in the detection of UAVs in complex environments.
Legal and ethical considerations inform future approaches to C-UAS technology amid rising UAV threats and autonomous swarms.

Смайлов et al. (2025) studied this question.

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