Zobrazeno 1 - 10
of 67
pro vyhledávání: '"drone classification"'
Publikováno v:
Frontiers in Communications and Networks, Vol 5 (2024)
In recent years, the increasing use of drones for both commercial and recreational purposes has led to heightened concerns regarding airspace safety. To address these issues, machine learning (ML) based drone detection and classification have emerged
Externí odkaz:
https://doaj.org/article/9b1681566ee74456b07b874dabbe01ab
Autor:
Yuanhua Fu, Zhiming He
Publikováno v:
Drones, Vol 8, Iss 9, p 511 (2024)
Over the past few years, drones have been utilized in a wide range of applications. However, the illegal operation of drones may pose a series of security risks to sensitive areas such as airports and military bases. Hence, it is vital to develop an
Externí odkaz:
https://doaj.org/article/dfd4a40dd1084e31a6d3a7ed2dd5e76f
Autor:
Marzena Mięsikowska
Publikováno v:
Sensors, Vol 24, Iss 17, p 5663 (2024)
Detection of unmanned aerial vehicles (UAVs) and their classification on the basis of acoustic signals recorded in the presence of UAVs is a very important source of information. Such information can be the basis of certain decisions. It can support
Externí odkaz:
https://doaj.org/article/090b7d572ad74200877705e62b017ce2
Autor:
Akın Özkaner, Yetkin Akça
Publikováno v:
Engineering Science and Technology, an International Journal, Vol 49, Iss , Pp 101591- (2024)
In recent years, Mini/Micro UAVs have started to become a major concern and threat to the public, which made the need of detection and classification of them inevitable. Among all known detection techniques, one of the best reassuring and promising a
Externí odkaz:
https://doaj.org/article/d34c7a0066524ea69565f5714c431fe3
Publikováno v:
IEEE Access, Vol 10, Pp 49696-49707 (2022)
In recent years, the increasing popularity of unmanned aerial vehicles (UAVs) has arisen from the emergence of cutting-edge technologies deployed in small and low-cost devices. With the great capability of friendly uses and wide applications for mult
Externí odkaz:
https://doaj.org/article/e40719d6a1844ba6acff0d25682b284a
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Bilal Taha, Abdulhadi Shoufan
Publikováno v:
IEEE Access, Vol 7, Pp 138669-138682 (2019)
This paper presents a comprehensive review of current literature on drone detection and classification using machine learning with different modalities. This research area has emerged in the last few years due to the rapid development of commercial a
Externí odkaz:
https://doaj.org/article/706957b1be0c4c8fbc10c95da097f702
Publikováno v:
Sensors, Vol 22, Iss 17, p 6701 (2022)
We propose a novel approach for drone detection and classification based on RF communication link analysis. Our approach analyses large signal record including several packets and can be decomposed of two successive steps: signal detection and drone
Externí odkaz:
https://doaj.org/article/216e789482394417bcfa98ca4eb597db
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.