Zobrazeno 1 - 10
of 377
pro vyhledávání: '"uav detection"'
Publikováno v:
Cognitive Robotics, Vol 5, Iss , Pp 14-25 (2025)
The increasing use and militarization of UAV technology presents significant challenges to nations and societies. Notably, there is a deficit in anti- UAV technologies for civilian use, particularly in complex urban environments at low altitudes. Thi
Externí odkaz:
https://doaj.org/article/daa465a8978847f385cb070847049ad7
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
A Novel Dataset and Detection Method for Unmanned Aerial Vehicles Using an Improved YOLOv9 Algorithm
Publikováno v:
Sensors, Vol 24, Iss 23, p 7512 (2024)
With the growing popularity of unmanned aerial vehicles (UAVs), their improper use is significantly disrupting society. Individuals and organizations have been continuously researching methods for detecting UAVs. However, most existing detection meth
Externí odkaz:
https://doaj.org/article/e67b44119c4c464e936e93c7987094ae
Publikováno v:
Drones, Vol 8, Iss 11, p 638 (2024)
Unmanned aerial vehicle (UAV) detection in real-time is a challenging task despite the advances in computer vision and deep learning techniques. The increasing use of UAVs in numerous applications has generated worries about possible risks and misuse
Externí odkaz:
https://doaj.org/article/2e3047013e8446fe9c0a469189fc77db
Publikováno v:
Drones, Vol 8, Iss 11, p 681 (2024)
Traditional unmanned aerial vehicle (UAV) detection methods struggle with multi-scale variations during flight, complex backgrounds, and low accuracy, whereas existing deep learning detection methods have high accuracy but high dependence on equipmen
Externí odkaz:
https://doaj.org/article/40b131eda0f64ecc90ec489915b43dea
Publikováno v:
Sensors, Vol 24, Iss 22, p 7148 (2024)
Interest in anti-UAV detection systems has increased due to growing concerns about the security and privacy issues associated with unmanned aerial vehicles (UAVs). Achieving real-time detection with high accuracy, while accommodating the limited reso
Externí odkaz:
https://doaj.org/article/0f265e1b9b0140d6b60bc375b5eb6069
Autor:
Hilal Elyousseph, Majid Altamimi
Publikováno v:
Sensors, Vol 24, Iss 22, p 7339 (2024)
The proliferation of low-cost, small radar cross-section UAVs (unmanned aerial vehicles) necessitates innovative solutions for countering them. Since these UAVs typically operate with a radio control link, a promising defense technique involves passi
Externí odkaz:
https://doaj.org/article/494e01f9fc1c4501927bfbc33577f3e8
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
Akademický článek
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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