Advancements in Unmanned Aerial Vehicle Classification, Tracking, and Detection Algorithms

다국어 초록 (Multilingual Abstract)

This paper provides a comprehensive overview of UAV classification, tracking, and detection, offering researchers a clear understanding of these fundamental concepts. It elucidates how classification categorizes UAVs based on attributes, how tracking monitors real-time positions, and how detection identifies UAV presence. The interconnectedness of these aspects is highlighted, with detection enhancing tracking and classification aiding in anomaly identification. Moreover, the paper emphasizes the relevance of simulations in the context of drones and UAVs, underscoring their pivotal role in training, testing, and research. By succinctly presenting these core concepts and their practical implications, the paper equips researchers with a solid foundation to comprehend and explore the complexities of UAV operations and the role of simulations in advancing this dynamic field.

참고문헌 (Reference)

1 "Zephyr-Sim"

2 "Unmanned Aircraft Systems - Vampire"

3 E. Capello, "Uavs and simulation: an experience on mavs" 81 : 38-50, 2009

4 A. Y. Javaid, "UAVSim: A simulation testbed for unmanned aerial vehicle network cyber security analysis" IEEE 1432-1436, 2013

5 Mohammed Abdulhakim Al-Absi, "Tracking Unmanned Aerial Vehicles Based on the Kalman Filter Considering Uncertainty and Error Aware" MDPI AG 10 (10): 3067-, 2021

6 Mohsan, S.A.H., "Towards the Unmanned Aerial Vehicles (UAVs):A Comprehensive Review" 6 : 147-, 2022

7 A. R. Perry, "The ightgear ight simulator" 2004

8 H. Wang, "Survey on Unmanned Aerial Vehicle Networks : A Cyber Physical System Perspective" 22 (22): 1027-1070, 2020

9 B. Nassi, "SoK—Security and privacy in the age of drones: Threats challenges solution mechanisms and scientific gaps, arXiv:1903.05155"

10 X. Wang, "Skyeyes: Adaptive video streaming from UAVs" 2-6,

11 B. Kate, "Simbeeotic: A simulator and testbed for micro-aerial vehicle swarm experiments"

12 R. Altawy, "Security privacy and safety aspects of civilian drones : A survey" 1 (1): 7-, 2016

13 J-P. Yaacoub, "Security analysis of drones systems : Attacks, limitations, and recommendations" 11 (11): 1-39, 2020

14 F. Furrer, "Robot operating system (ros), Studies Comp"

15 Zhang, D.X., "Research on electromagnetic interference mechanism of main remote control data link of UAV" 32 : 90-96, 2016

16 Jiang, Z.J, "Research on UAV identification algorithm based on deeplearning" 43 : 84-87, 2017

17 "Real Drone Simulator"

18 Zhao, J.C, "Radar-Assisted UAV Detection and Identification Based on 5G in the Internet of Things" 1-12, 2019

19 Rui Fu, "Modified Uncertainty Error Aware Estimation Model for Tracking the Path of Unmanned Aerial Vehicles" MDPI AG 12 (12): 11313-, 2022

20 T. Eshel, "Mobile radar optimized to detect uavs, precision guided weapons"

21 J. Van West, "Microsoft Flight Simulator X for Pilots : Real World Training" John Wiley &Sons 2007

22 M. Ritchie, "Micro UAV crime prevention: can we help Princess Leia in Preventing Crime Problems around the Globe through Research Innovations in the 21st Century"

23 Rui Fu, "Machine-Learning-Based UAV-Assisted Agricultural Information Security Architecture and Intrusion Detection" Institute of Electrical and Electronics Engineers (IEEE) 10 (10): 18589-18598, 2023

24 N. Hossein Motlagh, "Low-Altitude Unmanned Aerial Vehicles-Based Internet of Things Services : Comprehensive Survey and Future Perspectives" 3 (3): 899-922, 2016

25 J. Berndt, "Jsbsim: An open source ight dynamics model in c++" 4923-, 2004

26 "Introduction FlightGear Flight Simulator"

27 P. Boccadoro, "Internet of Drones: a Survey on Communications, Technologies, Protocols, Architectures and Services"

28 A. Pruitt, "Hone your drone piloting skills with the Zephyr simulator - TechRepublic"

29 I. Bekmezci, "Flying ad-hoc networks(fanets) : A survey" 11 (11): 2013

30 B. Stack, "FlightSim.Com - Review: MQ-1 UAV Predator by Abacus"

31 Federal Aviation Administration, "FAA Aerospace Forecast, FY 2016-2036"

32 M. Hassanalian, "Evolution of space drones for planetary exploration : A review" 97 : 3560-, 2018

33 Goldman Sachs Research, "Drones reporting for work"

34 Rui Fu, "Deep Learning-Based Drone Classification Using Radar Cross Section Signatures at mmWave Frequencies" Institute of Electrical and Electronics Engineers (IEEE) 9 : 161431-161444, 2021

35 W. G. La, "D-muns: Distributed multiple uavs network simulator"

36 A. Y. Javaid, "Cyber security threat analysis and attack simulation for unmanned aerial vehicle network"

37 T. Du, "Computational multicopter design" 35 (35): 227-, 2016

38 S. Shah, "Airsim: High-_delity visual and physical simulation for autonomous vehicles"

39 E. A. Marconato, "AVENS-a novel ying ad hoc network simulator with automatic code generation for unmanned aircraft system" 2017

40 J. M. Kok, "A low-cost simulation platform for apping wing mavs" 9429 : 9429-9429-7, 2015