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Development of an Acoustic System for UAV Detection. [PDF]
Sensors (Basel), 2020 The purpose of this paper is to investigate the possibility of developing and using an intelligent, flexible, and reliable acoustic system, designed to discover, locate, and transmit the position of unmanned aerial vehicles (UAVs). Such an application is very useful for monitoring sensitive areas and land territories subject to privacy.
Dumitrescu C +4 more
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Real-Time Object Detection Based on UAV Remote Sensing: A Systematic Literature Review
Drones, 2023 Real-time object detection based on UAV remote sensing is widely required in different scenarios. In the past 20 years, with the development of unmanned aerial vehicles (UAV), remote sensing technology, deep learning technology, and edge computing ...
Zhen Cao +4 more
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UAV detection using neural networks
Моделирование и анализ информационных системThe 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.
Maria D. Averina +5 more
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Hostile UAV Detection and Neutralization Using a UAV System
Drones, 2022 The technologies of Unmanned Aerial Vehicles (UAVs) have seen extremely rapid development in recent years. UAV technologies are being developed much faster than the means of their legislation. There have been many means of UAV detection and neutralization proposed in recent research; nonetheless, all of them have serious disadvantages.
Raimondas Pomarnacki +2 more
exaly +3 more sources
UAV Detection Using Reinforcement Learning. [PDF]
Sensors (Basel)Unmanned Aerial Vehicles (UAVs) have gained significant popularity in both military and civilian applications due to their cost-effectiveness and flexibility. However, the increased utilization of UAVs raises concerns about the risk of illegal data gathering and potential criminal use. As a result, the accurate detection and identification of intruding
AlKhonaini A +3 more
europepmc +4 more sources
UAV Detection and Tracking in Urban Environments Using Passive Sensors: A Survey
Applied Sciences, 2023 Unmanned aerial vehicles (UAVs) have gained significant popularity across various domains, but their proliferation also raises concerns about security, public safety, and privacy.
Xiaochen Yan +7 more
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Spatio-Temporal Feature Fusion for Anti-UAV Detection: Integrating Inter-Frame Dynamics and Appearance [PDF]
SensorsIn order to improve the detection capability of low-slow-small UAV targets in complex backgrounds, this paper introduces a novel method that combines spatio-temporal information, which includes (1) an improved YOLO detector for small UAV detection, (2) a
Yake Zhang +6 more
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Vision-Based Anti-UAV Detection and Tracking
IEEE Transactions on Intelligent Transportation Systems, 2022 Accepted by IEEE Transactions on Intelligent Transportation ...
Dong Wang, Jie Zhao
exaly +3 more sources
Recent Advances in Crop Disease Detection Using UAV and Deep Learning Techniques
Remote Sensing, 2023 Because of the recent advances in drones or Unmanned Aerial Vehicle (UAV) platforms, sensors and software, UAVs have gained popularity among precision agriculture researchers and stakeholders for estimating traits such as crop yield and diseases.
Tej Bahadur Shahi +3 more
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An Anomaly Detection Method for UAV Based on Wavelet Decomposition and Stacked Denoising Autoencoder
AerospaceThe paper proposes an anomaly detection method for UAVs based on wavelet decomposition and stacked denoising autoencoder. This method takes the negative impact of noisy data and the feature extraction capabilities of deep learning models into account. It
Shenghan Zhou +3 more
doaj +3 more sources