Automated Drone Detection Using YOLOv4
Drones, 2021 Drones are increasing in popularity and are reaching the public faster than ever before. Consequently, the chances of a drone being misused are multiplying.
Subroto Singha, Burchan Aydin
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Real-Time and Accurate Drone Detection in a Video with a Static Background [PDF]
Sensors, 2020 With the increasing number of drones, the danger of their illegal use has become relevant. This has necessitated the creation of automatic drone protection systems.
Ulzhalgas Seidaliyeva +3 more
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High-Resolution Drone Detection Based on Background Difference and SAG-YOLOv5s [PDF]
Sensors, 2022 To solve the problem of low accuracy and slow speed of drone detection in high-resolution images with fixed cameras, we propose a detection method combining background difference and lightweight network SAG-YOLOv5s.
Yaowen Lv +5 more
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A dataset for multi-sensor drone detection [PDF]
Data in Brief, 2021 The use of small and remotely controlled unmanned aerial vehicles (UAVs), referred to as drones, has increased dramatically in recent years, both for professional and recreative purposes.
Fredrik Svanström +2 more
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Audio-Based Drone Detection and Identification Using Deep Learning Techniques with Dataset Enhancement through Generative Adversarial Networks [PDF]
Sensors, 2021 Drones are becoming increasingly popular not only for recreational purposes but in day-to-day applications in engineering, medicine, logistics, security and others.
Sara Al-Emadi +2 more
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Long-Range Drone Detection of 24 G FMCW Radar with E-plane Sectoral Horn Array [PDF]
Sensors, 2018 In this work, a 24-GHz frequency-modulated continuous-wave (FMCW) radar system with two sectoral horn antennas and one transmitting lens antenna for long-range drone detection is presented. The present work demonstrates the detection of a quadcopter-type
Byunggil Choi +4 more
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Convolutional Neural Network-Based Drone Detection and Classification Using Overlaid Frequency-Modulated Continuous-Wave (FMCW) Range–Doppler Images [PDF]
SensorsThis paper proposes a novel drone detection method based on a convolutional neural network (CNN) utilizing range–Doppler map images from a frequency-modulated continuous-wave (FMCW) radar. The existing drone detection and identification techniques, which
Seung-Kyu Han +2 more
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Efficient YOLOv7-Drone: An Enhanced Object Detection Approach for Drone Aerial Imagery
Drones, 2023 In recent years, the rise of low-cost mini rotary-wing drone technology across diverse sectors has emphasized the crucial role of object detection within drone aerial imagery.
Xiaofeng Fu +4 more
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Motion feature extraction using magnocellular-inspired spiking neural networks for drone detection [PDF]
Frontiers in Computational NeuroscienceTraditional object detection methods usually underperform when locating tiny or small drones against complex backgrounds, since the appearance features of the targets and the backgrounds are highly similar.
Jiayi Zheng +7 more
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Drone Detection and Tracking in Real-Time by Fusion of Different Sensing Modalities
Drones, 2022 Automatic detection of flying drones is a key issue where its presence, especially if unauthorized, can create risky situations or compromise security. Here, we design and evaluate a multi-sensor drone detection system. In conjunction with standard video
Fredrik Svanström +2 more
doaj +3 more sources