Advances and Challenges in Drone Detection and Classification Techniques: A State-of-the-Art Review

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...
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Autor*in:	Ulzhalgas Seidaliyeva [verfasserIn] Lyazzat Ilipbayeva [verfasserIn] Kyrmyzy Taissariyeva [verfasserIn] Nurzhigit Smailov [verfasserIn] Eric T. Matson [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	unmanned aerial vehicles (UAVs) UAV detection drone detection drone identification UAV identification UAV classification

Übergeordnetes Werk:	In: Sensors - MDPI AG, 2003, 24(2023), 1, p 125
Übergeordnetes Werk:	volume:24 ; year:2023 ; number:1, p 125

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/s24010125

Katalog-ID:	DOAJ09777085X

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authorswithroles_txt_mv	Ulzhalgas Seidaliyeva @@aut@@ Lyazzat Ilipbayeva @@aut@@ Kyrmyzy Taissariyeva @@aut@@ Nurzhigit Smailov @@aut@@ Eric T. Matson @@aut@@
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callnumber-first	T - Technology
author	Ulzhalgas Seidaliyeva
spellingShingle	Ulzhalgas Seidaliyeva misc TP1-1185 misc unmanned aerial vehicles (UAVs) misc UAV detection misc drone detection misc drone identification misc UAV identification misc UAV classification misc Chemical technology Advances and Challenges in Drone Detection and Classification Techniques: A State-of-the-Art Review
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topic_title	TP1-1185 Advances and Challenges in Drone Detection and Classification Techniques: A State-of-the-Art Review unmanned aerial vehicles (UAVs) UAV detection drone detection drone identification UAV identification UAV classification
topic	misc TP1-1185 misc unmanned aerial vehicles (UAVs) misc UAV detection misc drone detection misc drone identification misc UAV identification misc UAV classification misc Chemical technology
topic_unstemmed	misc TP1-1185 misc unmanned aerial vehicles (UAVs) misc UAV detection misc drone detection misc drone identification misc UAV identification misc UAV classification misc Chemical technology
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title	Advances and Challenges in Drone Detection and Classification Techniques: A State-of-the-Art Review
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title_sort	advances and challenges in drone detection and classification techniques: a state-of-the-art review
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title_auth	Advances and Challenges in Drone Detection and Classification Techniques: A State-of-the-Art Review
abstract	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.
abstractGer	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.
abstract_unstemmed	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.
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title_short	Advances and Challenges in Drone Detection and Classification Techniques: A State-of-the-Art Review
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