[1] https://www.dji.com/
[2] https://www.parrot.com/us/
[3] Parrot AR.Drone 2.0. http://ardrone2.parrot.com/
[4] https://www.ni.com/en-us/shop/labview.html
[5] ArUco: a minimal library for Agumented Reality applications based on OpenCV. https://www.uco.es/investiga/grupos/ava/node/26
[6] M. A. Mogensen, The AR Drone LabVIEW Toolkit: A Software Framework for the Control of Low Cost Quadrotor Aerial Robots, M.Sc. Thesis, TUFTS University, Medford, MA, 2012.
[7] T. Krajnik, V. Vonasek, D. Fiser and J. Faigel, “AR-Drone as a Platform for Robotics,” Int. Conf. on Research and Education in Robotics-EUROBOT, pp. 172-186, 2011.
[8] S. Yue, Modeling, Identification and Control of a Quadrotor Drone Using Low-Resolution Sensing, M.Sc. Thesis, University of Illinois, Champaign, IL, 2012.
[9] A. Prayitno, V. Indrawati and G. Utomo, “Trajectory Tracking of AR.Drone Quadrotor Using Fuzzy Logic Controller,” TELKOMNIKA, vol. 12, no. 4, pp. 819-828, 2014.
[10] V. Indrawati, A. Prayitno and G. Utomo, “Comparison of Two Fuzzy Logic Controller Schemes for Position Control of AR.Drone,” IEEE Int. Conf. on Information Technology and Electrical Engineering (ICITEE), pp. 360-363, 2015.
[11] V. Indrawati, A. Prayitno and T. A. Kusuma, “Waypoint Navigation of AR.Drone Quadrotor Using Fuzzy Logic Controller,” TELKOMNIKA, vol. 13, no. 3, pp. 930-939, 2013.
[12] Sarah Y. Tang, Vision-Based Control for Autonomous Quadrotor, Undergraduated Senior Thesis, Princeton University, NJ, 2013.
[13] K. Boudjit and C. Larbes, “Detection and Target Tracking With a Quadrotor using Fuzzy Logic,” Int. Conf. on Modeling, Identification and Control (ICMIC), pp. 127-132, 2016.
[14] The FuzzyLite Libraries for Fuzzy Logic Control. http://www.fuzzylite.com/
[15] Y. Tao, G. Xie, Y. Chen, H. Xiong, H. Liu, J. Zheng and J. Gao, “A PID and Fuzzy Logic Based Method for Quadrotor Aircraft Control Motion,” Journal of Intelligent and Fuzzy Systems, vol. 31, no. 6, pp. 2975-2983, 2016.
[16] C. H. Pi, V. B. Sheng and S. Cheng, “A Dual-loop Approach with Visual Servoing Fuzzy Control for Marker Navigation Quadcopter,” Int. Conf. on Intelligent Systems and Image Processing, pp. 384-390, 2016.
[17] OpenCV: Open Source Computer Vision Library. https://opencv.org/
[18] https://github.com/tum-vision/tum_simulator/
[19] Ardrone autonomy ros stack. https://github.com/AutonomyLab/ardrone_autonomy/
[20] E. H. Mamdani, “Application of Fuzzy Logic to Approximate Reasoning using Linguistic Synthesis,” IEEE Tran. On Computers, vol. 100, no. 12, pp. 1182-1191, 1977.
[21] Atulya Shivam Shree, Radhe Shyam Sharma,Laxmidhar Behera and K.S. Venkatesh, “Position Based Visual Control of the Hovering Quadcopter,” International Conference on Intelligent Human Computer Interaction, IHCI 2016, pp. 15-26.
[22] M.Bergamasco and M.Lovera. “Identification of Linear Models for the Dynamics of a Hovering Quadrotor ,” IEEE Transactions on Control Systems Technology, vol. 22, no. 5, pp. 1696–1707, Sept 2014.
[23] B.T.M. Leong, S.M. Low, and M.P.L. Ooi, “Low-cost microcontroller-based hover control design of a quadcopter,” Procedia Engineering, vol. 41, pp. 458-464. 2012.
[24] Mohd Ariffanan Mohd Basri, “Robust Backstepping Controller Design with a Fuzzy Compensator for Autonomous Hovering Quadrotor UAV,” Iranian Journal of Science and Technology, Transactions of Electrical Engineering, Vol. 42, Issue 3, pp. 379–391, September 2018.
[25] علیرضا مدیرروستا و مهدی خدابنده، "طراحی یک روش کنترل مد لغزشی انتگرالی تطبیقی برای پایدارسازی زمان محدود و مقاوم پرنده چهارملخه"، مجله مهندسی برق دانشگاه تبریز، دوره 46، شماره 1، صفحه 321-332 ، بهار 1395.
[26] الناز قنبری، مهرام محبوب خواه و قادر کریمیان، "تعیین موقعیت عملگر نهایی یک ربات موازی چهار درجه آزادی با استفاده از روش بینایی ماشین "، مجله مهندسی برق دانشگاه تبریز، جلد 46، شماره 4، 1395.
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