Development Of A Vision-based Anti-drone Identification Friend Or Foe Model To Recognize Birds And Drones Using Deep Learning

Y Ghazlane, M Gmira, H Medromi - Applied Artificial Intelligence, 2024 - Taylor & Francis
Recently, the growing use of drones has paved the way for limitless applications in all the
domains. However, their malicious exploitations have affected the airspace safety, making …

Real-time lightweight drone detection model: Fine-grained Identification of four types of drones based on an improved Yolov7 model

Y Ghazlane, M Hicham - Neurocomputing, 2024 - Elsevier
Recently, the rapid progress of artificial intelligence has enhanced the human-robot
relationship through the development of several autonomous robots; such as drones. The …

[HTML][HTML] Realizing Small UAV Targets Recognition via Multi-Dimensional Feature Fusion of High-Resolution Radar

W Jiang, Z Liu, Y Wang, Y Lin, Y Li, F Bi - Remote Sensing, 2024 - mdpi.com
For modern radar systems, small unmanned aerial vehicles (UAVs) belong to a typical types
of targets with 'low, slow, and small'characteristics. In complex combat environments, the …

Anti-unmanned aerial vehicle detection system for airports: aviation and national security perspective

JS Anghuwo, P Imanuel, SS Nangolo - Journal of Transportation Security, 2024 - Springer
Abstract Unmanned Aerial Vehicles gained significant popularity in the last decade as
demonstrated by their wide usage in various fields. From around the year 2001, the usage of …

[PDF][PDF] Real-Time Airborne Target Tracking using DeepSort Algorithm and Yolov7 Model.

Y Ghazlane, AE Hilali Alaoui, H Medomi… - … Journal of Advanced …, 2024 - researchgate.net
In light of the explosive growth of drones, it is more critical than ever to strengthen and
secure aerial security and privacy. Drones are used maliciously by exploiting some gaps in …