A Comprehensive Survey of Unmanned Aerial Vehicles Detection and Classification Using Machine Learning Approach: Challenges, Solutions, and Future Directions
Autonomous unmanned aerial vehicles (UAVs) have several advantages in various fields,
including disaster relief, aerial photography and videography, mapping and surveying …
including disaster relief, aerial photography and videography, mapping and surveying …
CT-RURnet: a novel network design for radar unmanned aerial vehicles recognition
T Jiang, Q Li, Z Huang, L Zhuang - Measurement Science and …, 2024 - iopscience.iop.org
The rapid growth of commercial unmanned aerial vehicles (UAVs) has led to more incidents.
These include illegal activities by malicious actors. Such activities pose significant threats to …
These include illegal activities by malicious actors. Such activities pose significant threats to …
[PDF][PDF] Comparative Analysis of Deep Learning Methods for Unmanned Aerial Vehicles (UAVs) Recognition and Identification Using Micro-Doppler Signatures
A Agrebi, X Neyt - researchportal.rma.ac.be
In this work, we introduce a novel methodology for small Unmanned Aerial Vehicles (UAVs)
classification by leveraging their specific micro-Doppler signatures (mDs). The proposed …
classification by leveraging their specific micro-Doppler signatures (mDs). The proposed …