Aerial Supervision of Drones and Other Flying Objects Using Convolutional Neural Networks

Ihekoronye, Vivian Ukamaka; Ajakwe, Simeon Okechukwu; Kim, Dong-Seong; Lee, Jae Min

doi:10.1109/icaiic54071.2022.9722702

Cited by 9 publications

(1 citation statement)

References 11 publications

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“…UAVs with camouflaging characteristics, swift maneuverability, and other advanced technological features make real-time detection and countering difficult, which invariably attracts them to terrorist groups as preferred tools for swift reprisal attacks through breaches of security, privacy, and safety (Yaacoub et al, 2020;Ihekoronye et al, 2022a). Current AI-driven UAV architectures rely on a remote cloud.…”

Section: Cognitive Intelligence Issues In Dds Designmentioning

confidence: 99%

Radicalization of Airspace Security: Prospects and Botheration of Drone Defense System Technology

Ajakwe

Kim

Lee

2023

JICW

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The development of a comprehensive and decisive drone defense integrated control system that can provide maximum security is crucial for maintaining territorial integrity and accelerating smart aerial mobility to sustain the emerging drone transportation system (DTS) for priority-based logistics and mobile communication. This study explores recent developments in the design of robust drone defense control systems that can observe and respond not only to drone attacks inside and outside a facility but also to equipment data such as CCTV security control on the ground and security sensors in the facility at a glance. Also, it considered DDS strategies, schema, and innovative security setups in different regions. Finally, open research issues in DDs designs are discussed, and useful recommendations are provided. Effective means for drone source authentication, delivery package verification, operator authorization, and dynamic scenario-specific engagement are solicited for comprehensive DDS design for maximum security Received: 2023-03-07 Revised: 2023-04-27

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Section: Cognitive Intelligence Issues In Dds Designmentioning

confidence: 99%