Zobrazeno 1 - 10
of 345
pro vyhledávání: '"UAV detection"'
Autor:
Maria D. Averina, Olga Levanova, Darya V. Grushevskaya, Kirill A. Kukharev, Dmitriy M. Murin, Maksim A. Kalinin
Publikováno v:
Моделирование и анализ информационных систем, Vol 31, Iss 2, Pp 182-193 (2024)
The availability of unmanned aerial vehicles (UAVs) has led to a significant increase in the number of offenses involving their use. This makes the development of UAV detection systems relevant. Solutions based on deep neural networks show the best r
Externí odkaz:
https://doaj.org/article/059fc5b615dd4ec1a8d16d888fcd1ff6
Publikováno v:
Drones, Vol 8, Iss 10, p 573 (2024)
The abuse of UAVs poses a potential risk to social security, necessitating the investigation of anti-UAV methods to safeguard critical areas. However, the existing UAV countermeasures face challenges such as high environmental impact, restricted spat
Externí odkaz:
https://doaj.org/article/2a7c9030034f41e78b890799747fb75b
Autor:
Bingshu Wang, Qiang Li, Qianchen Mao, Jinbao Wang, C. L. Philip Chen, Aihong Shangguan, Haosu Zhang
Publikováno v:
Drones, Vol 8, Iss 9, p 518 (2024)
The rapid development and widespread application of Unmanned Aerial Vehicles (UAV) have raised significant concerns about safety and privacy, thus requiring powerful anti-UAV systems. This survey provides an overview of anti-UAV detection and trackin
Externí odkaz:
https://doaj.org/article/2b708e802ec6470588a7b319428641cb
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Publikováno v:
Applied Sciences, Vol 14, Iss 15, p 6398 (2024)
Due to the limited computational resources of portable devices, target detection models for drone detection face challenges in real-time deployment. To enhance the detection efficiency of low, slow, and small unmanned aerial vehicles (UAVs), this stu
Externí odkaz:
https://doaj.org/article/e0975a42788243ebae28d602166971ca
Publikováno v:
Drones, Vol 8, Iss 7, p 332 (2024)
With the rapid development of urban air traffic, Unmanned Aerial Vehicles (UAVs) are gradually being widely used in cities. Since UAVs are prohibited over important places in Urban Air Mobility (UAM), such as government and airports, it is important
Externí odkaz:
https://doaj.org/article/a5888f559d0d491f91158d871ee26339
Publikováno v:
Drones, Vol 8, Iss 7, p 331 (2024)
Unauthorized unmanned aerial vehicles (UAVs) pose threats to public safety and individual privacy. Traditional object-detection approaches often fall short during their application in anti-UAV technologies. To address this issue, we propose the YOLOv
Externí odkaz:
https://doaj.org/article/596edf2244cf46e8886ed70a2986cd6f
Publikováno v:
Signals, Vol 4, Iss 2, Pp 337-358 (2023)
This paper investigates the use of micro-Doppler spectrogram signatures of flying targets, such as drones and birds, to aid in their remote classification. Using a custom-designed 10-GHz continuous wave (CW) radar system, measurements from different
Externí odkaz:
https://doaj.org/article/42cf100a43a14a4aad32de604a4c2a80
Autor:
Sebastian Kümmritz
Publikováno v:
Drones, Vol 8, Iss 3, p 105 (2024)
In response to the growing challenges in drone security and airspace management, this study introduces an advanced drone classifier, capable of detecting and categorizing Unmanned Aerial Vehicles (UAVs) based on acoustic signatures. Utilizing a compr
Externí odkaz:
https://doaj.org/article/780144e393214a10bc597e0f8fd7526e
Autor:
Md Habibur Rahman, Mohammad Abrar Shakil Sejan, Md Abdul Aziz, Rana Tabassum, Jung-In Baik, Hyoung-Kyu Song
Publikováno v:
Remote Sensing, Vol 16, Iss 5, p 879 (2024)
Autonomous unmanned aerial vehicles (UAVs) have several advantages in various fields, including disaster relief, aerial photography and videography, mapping and surveying, farming, as well as defense and public usage. However, there is a growing prob
Externí odkaz:
https://doaj.org/article/d5da074ab5d046869b2520559b84ec25