Advances and Challenges in Drone Detection and Classification Techniques: A State-of-the-Art Review is a report by Ulzhalgas Seidaliyeva, Lyazzat Ilipbayeva, Kyrmyzy Taissariyeva, Kyrmyzy Taissariyeva, and Eric T. Mason.

This review explores current drone detection and classification advancements, focusing on innovative strategies to mitigate concerns associated with UAV activities. The analysis delves into the challenges of dynamic drone behavior, diverse size and speed characteristics, and limited battery life. Additionally, the review categorizes key detection modalities, encompassing radar, radio frequency (RF), acoustic, and vision-based approaches, while scrutinizing their respective advantages and limitations. Emphasis is placed on the significance of sensor fusion methods and alternative detection approaches, such as wireless fidelity (Wi-Fi), cellular, and Internet of Things (IoT) networks, to enhance the precision and effectiveness of UAV detection and identification.

Data de publicação– December 2023

Advances and Challenges in Drone Detection and Classification Techniques: A State-of-the-Art Review contains the following major sections:

  • Introdução
  • Drone Detection Technologies
  • Discussion and Conclusions

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