Advances and Challenges in Drone Detection and Classification Techniques: A State-of-the-Art Review
Seidaliyeva U. Ilipbayeva L. Taissariyeva K. Smailov N. Matson E.T.
January 2024Multidisciplinary Digital Publishing Institute (MDPI)
Sensors
2024#24Issue 1
The fast development of unmanned aerial vehicles (UAVs), commonly known as drones, has brought a unique set of opportunities and challenges to both the civilian and military sectors. While drones have proven useful in sectors such as delivery, agriculture, and surveillance, their potential for abuse in illegal airspace invasions, privacy breaches, and security risks has increased the demand for improved detection and classification systems. This state-of-the-art review presents a detailed overview of current improvements in drone detection and classification techniques: highlighting novel strategies used to address the rising concerns about UAV activities. We investigate the threats and challenges faced due to drones’ dynamic behavior, size and speed diversity, battery life, etc. Furthermore, we categorize the key detection modalities, including radar, radio frequency (RF), acoustic, and vision-based approaches, and examine their distinct advantages and limitations. The research also discusses the importance of sensor fusion methods and other detection approaches, including wireless fidelity (Wi-Fi), cellular, and Internet of Things (IoT) networks, for improving the accuracy and efficiency of UAV detection and identification.
acoustic , deep learning based UAV identification , detection technologies , drone classification , drone detection , drone identification , drone incidents , drone localization , drone threats , machine learning based drone detection , radar , radio frequency (RF) , sensor fusion , UAV classification , UAV detection , UAV identification , unmanned aerial vehicles (UAVs) , visual
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Department of Electronics, Telecommunications and Space Technologies, Satbayev University, Almaty, 050013, Kazakhstan
Department of Radio Engineering, Electronics and Telecommunications, International IT University, Almaty, 050040, Kazakhstan
Department of Computer and Information Technology, Purdue University, West Lafayette, 47907-2021, IN, United States
Department of Electronics
Department of Radio Engineering
Department of Computer and Information Technology
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