Drone-YOLO: An Efficient Neural Network Method for Target Detection in Drone Images
Object detection in unmanned aerial vehicle (UAV) imagery is a meaningful foundation in various research domains. However, UAV imagery poses unique challenges, including large image sizes, small sizes detection objects, dense distribution, overlapping ...
Zhengxin Zhang
doaj +3 more sources
Drone Detection and Tracking in Real-Time by Fusion of Different Sensing Modalities
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
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A novel unified lightweight temporal-spatial transformer approach for intrusion detection in drone networks [PDF]
The growing integration of drones across commercial, industrial, and civilian domains has introduced significant cybersecurity challenges, particularly due to the susceptibility of drone networks to a wide range of cyberattacks.
Tarun Kumar Biswas +3 more
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Design and development of an SDR-based system for real-time detection and characterization of drone RF signatures [PDF]
The widespread availability of consumer drones has introduced new challenges related to safety, security, and privacy, as these platforms are increasingly misused in sensitive or restricted areas., existing counter-drone technologies–such as radar ...
Mgannem Saber +7 more
doaj +2 more sources
Drone Detection and Tracking Using RF Identification Signals [PDF]
Ettien LAZARE Kpré +2 more
exaly +2 more sources
Vision-Based Drone Detection in Complex Environments: A Survey
The frequent illegal use of drones poses a serious threat to public security and property. Counter-drones are crucial tools. The prerequisite for an effective counter-drone is to detect drones accurately.
Ziyi Liu +5 more
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Drone Detection and Classification Using Physical-Layer Protocol Statistical Fingerprint [PDF]
Roland Gautier, Louis Morge-Rollet
exaly +2 more sources
Dogfight: Detecting Drones from Drones Videos [PDF]
10 pages, 10 figures, Accepted for CVPR ...
Muhammad Waseem Ashraf +2 more
openaire +2 more sources
The Effect of Data Augmentation in Deep Learning with Drone Object Detection
Drone object detection is one of the main applications of image processing technology and pattern recognition using deep learning. However, the limited drone image data that can be accessed for training detection algorithms is a challenge in the ...
Ariel Yonatan Alin +2 more
doaj +1 more source
DroMOD: A Drone-Based Multi-Scope Object Detection System
Drone-based Multi-scope Object Detection (DroMOD) system targets an efficient detection of different kinds of objects using drones. DroMOD relies on a cross-platform framework where objects’ detection tasks are shared between the drone and the ...
Takoua Abdellatif +2 more
doaj +1 more source

