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.

Udgivelsesdato– December 2023

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

  • Introduktion
  • Drone Detection Technologies
  • Discussion and Conclusions

Alle artikler udgivet af MDPI er umiddelbart tilgængelige i hele verden under en open access-licens. Der kræves ingen særlig tilladelse til at genbruge hele eller dele af den artikel, der er udgivet af MDPI, herunder figurer og tabeller. Enhver del af artiklen kan genbruges uden samtykke til artikler, der er offentliggjort under en open-access Creative Common CC BY-licens, forudsat at den oprindelige artikel er tydeligt citeret. For mere information, se venligst https://www.mdpi.com/openaccess.

C-UAS Hub does not own this content and provides a link for users at the bund af siden for at få adgang til den på dens oprindelige placering. Dette giver forfatterne mulighed for at følge vigtige artikelmålinger i forbindelse med deres arbejde. Al kredit går til den retmæssige ejer.

Billedkredit: envatoelements af nd3000