Deep learning techniques for advanced drone detection systems: a comprehensive review of techniques, challenges and future directions

Muhammad Zamri, Fatin Najihah and Gunawan, Teddy Surya and Kartiwi, Mira and Pratondo, Agus and Yusoff, Siti Hajar and Mustafah, Yasir Mohd. (2024) Deep learning techniques for advanced drone detection systems: a comprehensive review of techniques, challenges and future directions. Indonesian Journal of Electrical Engineering and Informatics (IJEEI), 12 (4). pp. 818-857. ISSN 2089-3272

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Abstract

The widespread use of Unmanned Aerial Vehicles (UAVs), commonly known as drones, across various sectors, such as civilian, commercial, and military operations, has created significant challenges in ensuring security, safety, and privacy. This paper provides a comprehensive review of the latest advancements in drone detection systems leveraging deep learning techniques, covering the period from 2020 to 2024. It critically evaluates both optical (visible light and thermal infrared) and non-optical (radio frequency, radar, and acoustic) detection methodologies. The analysis includes cutting-edge models such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Generative Adversarial Networks (GANs), focusing on their application in drone detection. Key challenges like real-time processing, environmental interference, and differentiation between drones and similar objects are examined. Potential solutions, including sensor fusion, attention mechanisms, and the integration of emerging technologies such as the Internet of Things (IoT) and 5G networks, are discussed in detail. The paper concludes with future research directions to enhance drone detection systems' robustness, scalability, and accuracy, particularly in complex and dynamic environments. This review offers valuable insights for researchers and industry professionals working towards next-generation drone detection technologies.

Item Type:	Article (Journal)
Uncontrolled Keywords:	Drone detection; Deep learning; Sensor fusion; Real-time processing; UAV security; Thermal infrared imaging; Radio frequency detection; Radar-based detection; Acoustic-based detection
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices > TK7885 Computer engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Electrical and Computer Engineering Kulliyyah of Information and Communication Technology > Department of Information System Kulliyyah of Information and Communication Technology > Department of Information System
Depositing User:	Prof. Dr. Teddy Surya Gunawan
Date Deposited:	30 Dec 2024 13:21
Last Modified:	30 Dec 2024 13:22
URI:	http://irep.iium.edu.my/id/eprint/117092

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