Drone and Controller Detection and Localization: Trends and Challenges is a work by Jawad Yousaf, Huma Zia, Marah Alhalabi, Maha Yaghi, Tasnim Basmaji, Eiman Al Shehhi, Abdalla Gad, Mohammad Alkhedher, and Mohammed Ghazal.

Unmanned Aerial Vehicles (UAVs) have rapidly emerged as a growing technology, experiencing unprecedented adoption across various sectors due to their viability and low cost. However, the misuse of UAVs for illegal and malicious activities has been on the rise, necessitating advanced technologies for detecting, classifying, and deactivating unauthorized drones. This paper reviews the latest trends and challenges in UAV detection methods, including radio frequency-based (RF), radar, acoustic, electro-optical techniques, and localization methods. The research focuses on different types of drones, particularly multi-rotors. Additionally, the paper highlights the features and limitations of UAV detection systems and briefly examines methods for detecting UAV remote controllers.

Publication Date– September 2022

Drone and Controller Detection and Localization: Trends and Challenges contains the following major sections:

  • Introduction
  • UAV Architecture and Security Concerns
  • UAV Detection Methods
  • Drone Controller Detection and Localization
  • Conclusions

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