[1] Wolfe S, Givigi S, Rabbath C-A. Cooperative Multi Model State Estimation and Control for Target Tracking UAVs. 2020.
[2] Li KW, Jia H, Peng L, Gan L. Line-of-sight in operating a small unmanned aerial vehicle: How far can a quadcopter fly in line-of-sight? Applied ergonomics. 2019;81:102898.
[3] Krajník T, Vonásek V, Fišer D, Faigl J, editors. AR-drone as a platform for robotic research and education. International conference on research and education in robotics, Springer, 2015.
[4] Cheng H, Lin L, Zheng Z, Guan Y, Liu Z, editors. An autonomous vision-based target tracking system for rotorcraft unmanned aerial vehicles. IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017.
[5] Camargo MPd. Aerial machine vision, geographical information system and hue for pattern classification in agriculture: Universidade de São Paulo, 2018.
[6] Liu Y, Wang Q, Hu H, He Y. A novel real-time moving target tracking and path planning system for a quadrotor UAV in unknown unstructured outdoor scenes. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 49(11) 2018, pp 62-72.
[7] Padhy RP, Verma S, Ahmad S, Choudhury SK, Sa PK. Deep neural network for autonomous uav navigation in indoor corridor environments. Procedia computer science. 2018, pp 43-50.
[8] Goh G, Goh G, Zhong Z. Outdoor Autonomous Landing of a Quadcopter on a Moving Platform using Off-board Computer Vision. Journal of Modeling and Optimization, 11(2), 2019, pp 86-96.
[9] Azad Zade V, Latif AM. Classification of Features Extracted from Image Foreground and Background for Tracking of Aerial Moving Targets. Tabriz journal of electrical engineering. 2016; 46(3):1-11. [Persian].
[10] Manzori A, Vossoughi G. Cooperative Control of a Quadrotor and a Mobile Robot: Sharif University, 2016.
[11] sutude Bahraini M, Taghirad H. Simultaneous Localization and Mapping of a Mobile Robot Using Robust and Adaptive Filters in Dynamical Environments: Yazd University, 2017.
[12] Rezaei Nam N, Sharafi S, Farajian N. Track moving targets using a maximum learning machine strap. National Conference on the Application of New Technologies in Science and Engineering, Electrical and Computer and IT, 2016.
[13] Navab Zadeh MA. Simulation of robot movement to accurately track a moving target based on artificial intelligence: Bahonar University, 2018.
[14] Guevarra GEC, Moreno JNB, Reccion JCB, Sy CMO, del Rosario JRB. Development of a Quadrotor with Vision-based Target Detection for Autonomous Landing. Journal of Telecommunication, Electronic and Computer Engineering, 2018, pp 41-45.
[15] Rabah M, Rohan A, Mohamed SA, Kim S-H. Autonomous moving target-tracking for a UAV quadcopter based on fuzzy-PI. IEEE Access, 2019.
[16] Parikh A, Kamalapurkar R, Dixon WE. Target tracking in the presence of intermittent measurements via motion model learning. IEEE Transactions on Robotics, 34(3), 2018, pp 805-819.
[17] Cai Y, Xi Q, Xing X, Gui H, Liu Q, Path planning for UAV tracking target based on improved A-star algorithm. 2019 1st International Conference on Industrial Artificial Intelligence (IAI), 2019.
[18] Wang S, Jiang F, Zhang B, Ma R, Hao Q. Development of UAV-Based Target Tracking and Recognition Systems. IEEE Transactions on Intelligent Transportation Systems, 2019.
[19] Z.-Y. Zhao, M. Tomizuka, and S. Isaka, Fuzzy gain scheduling of PID controllers. IEEE transactions on systems, man, and cybernetics, vol. 23, no. 5, pp. 1392-1398, 1993.