___

• Abdelwahid, B., Marija, S., Lamine, R., Zoran, R. & Takieddine, M. (2019). UAV aerodynamic design involving genetic algorithm and artificial neural network for wing preliminary computation. Aerospace Science and Technology, 84, 464-83, https://doi.org/10.1016/j.ast.2018.09.043
• Ali, R., Mohammed, R., Muhammad, T. & Kim, S.H. (2018). Development of Intelligent Drone Battery Charging System based on Wireless Power Transmission. MDPI Journal on Application Systems, 1(4), 44.
• Arribas, E. & Mancuso, V. (2019). Fair cellular throughput optimization with the aid of coordinated drones. Proc. MiSARN
• Aswini, N., Kumar, E. K. & Uma, S.V. (2018). UAV’s obstacle sensing techniques – a perspective. International Journal of Intelligent Unmanned Systems, 6, 32-46, https://doi.org/10.1108/IJIUS-11-2017-0013
• Baris, O., Majumder, S. & Strøm, T. B. (2019). Demonstration of a Time-predictable Flight Controller on a Multicore Processor. ISORC, https://doi.org/10.1109/ISORC.2019.00029
• Bürkle, A. (2009). Collaborating miniature drones for surveillance and reconnaissance. Proc of SPIE 7480, Unmanned/ Unattended Sensors and Sensor Networks VI, 74800H (24 September 2009), https://doi: 10.1117/12.830408
• Cai, G., Jorge, D. & Lakmal, S. (2014). A survey of small-scale unmanned aerial vehicles: Recent advances and future development trends. Journal on Unmanned Systems, 2(2), 175-199,
• Chen, J., Liu. T. & Shen, S. (2016). Online generation of collision-free trajectories for quadrotor flight in unknown cluttered environments. ICRA, https://doi.org/10.1109/ICRA.2016.7487283
• Chen, J. & Liu, T. (2016). Tracking a moving target in cluttered environments. IROS, https://doi.org/10.1109/IROS.2016.7759092
• Devos, A., Ebeid, E. & Manoonpong, P. (2021). Development of Autonomous Drones for Adaptive Obstacle Avoidance. DSD, https://doi.org/10.1109/DSD.2018.00009
• Ding, J., Fan, Q., Luo, D. & Shen, X. (2014). Research of A Multi-UAV Flight Controller. Conference on Control & Automation (ICCA), https://doi.org/10.1109/ICCA.2014.6871017
• Ebeid, E., Skriver, M. & Jin, J. (2017). A Survey on Open-Source Flight Control Platforms of Unmanned Aerial Vehicle. DSD, https://doi.org/10.1109/DSD.2017.30
• Fujii, K., Higuchi, K. & Rekimoto, J. (2013). Endless Flyer: A Continuous Flying Drone with Automatic Battery replacement. IEEE 10th International Conference on Ubiquitous Intelligence & Computing.
• Gao, M. & Hugenholtz, C. H. (2021). Weather constraints on global drone flyability. Nature, https://doi.org/10.1038/s41598-021-91325-w
• Glock, K. & Meyer, A. (2020). Mission Planning for Emergency Rapid Mapping with Drones. Transportation Science Conference, 54(2), 534-560, https://doi.org/10.1287/trsc.2019.0963
• Gomes, F., Hormigo, T. & Ventura, R. (2020). Vision based real-time obstacle avoidance for drones. SSSS, https://doi.org/10.1109/SSRR50563.2020.9292597
• Grace, S. M. & Dropkin A. (2016). Experimental Study of Quadcopter Acoustics and Performance at Static Thrust Conditions. Aeroacoustics Conferences, https://doi.org/ 10.2514/6.2016-2873
• Guvenc, I. & Saad, W., (2016). Wireless communications, networking, and positioning with unmanned aerial vehicles. Communications, https://doi.org/10.1109/MCOM.2016.7470931
• Hartanto, R., Arkeman, Y., Hermadi, I., Sjaf, S. & Kleinke, M. (2019). Intelligent Unmanned Aerial Vehicle for Agriculture and Agroindustry. IOP Conf. Ser.: Earth Environ, 3-4, https://doi.org/10.1088/1755-1315/335/1/012001
• Hayat, S., Yanmaz, E. & Muzaffar, R. (2016). Survey on Unmanned Aerial Vehicle Networks for Civil Applications. IEEE Communications Surveys & Tutorials, 18(4), 2624–2661
• Huang, H. & Savkin, A. V. (2020). A Method of Optimized Deployment of Charging Stations for Drone Delivery. IEEE Transactions on Transportaion Electrification, 6, 2.
• Jeon, B. & Lee, Y. (2020). Integrated Motion Planner for Real-time Aerial Videography. ICRA, https://doi.org/10.1109/ICRA40945.2020.9196703
• Jain, K. P. & Mueller, M. W. (2020). Flying Batteries: In-flight bat tery switching to increase multirotor flight time. IEEE International Conference on Robotics and Automation (ICRA).
• Hassanalian, M. & Abdelkefi, A. (2017). Classifications, applications, and design challenges of Drones: A Review. Progress in Aerospace Sciences, 91, 99-131, https://doi.org/10.1016/j.paerosci.2017.04.003
• Jun, N., Lili, Y., Jingchao, Z., Weixing, C., Yan, Z. & Xiuxiang, T. (2017). Development of an unmanned aerial vehicle-borne crop-growth monitoring system. Sensors, 17, 502-525, https://dx.doi.org/10.3390%2Fs17030502
• Kemal, N., Chowdhary, G., How, J.P., Vavrina, M.A. & Vian, J. (2015). An Automated Battery Management System to enable persistent missions with multiple Aerial Vehicles. IEEE Transactions on Mechatronics, 20, 1.
• Kloet, N., Watkins, S. & Clothier, R. (2017). Acoustic signature measurement of small multi-rotor unmanned aircraft systems. International Journal of Micro Air Vehicles, 9, 3–14
• Lee, D., Zhou, J. & Lin, W.T. (2015). Automated Battery Swapping System for Quadcopter. IEEE International Conference on Unmanned Aircraft Systems (ICUAS).
• Luers D. (2003). Heavy rain effects on aircraft. AIAA 21st Aerospace Sciences Meeting, 83-0206, https://doi.org/10.2514/6.1983-206.
• Mohamud, A. & Ashok, A. (2018). Drone noise reduction through audio waveguiding. Dronet ACM Conference, https://doi.org/10.1145/3213526.3213543
• Motlagh, N.H., Taleb, T. & Arouk, O. (2016). Low-altitude unmanned aerial vehicles-based internet of things services: Comprehensive survey and future perspectives. IEEE Internet of Things Journal, 3(6), 899–922
• Nalamati, M., Kapoor, A., Saqib, M., Sharma, N. & Blumenstein, M. (2007). Drone Detection in Long-range Surveillance Videos. IEEE Conference on Drones and Intelligent Systems.
• Raciti, A., Rizo, S.A. & Susinni, G. (2018). Drone Charging Stations over the buildings based on a Wireless Power Transfer System. IEEE/ IAS Industrial and Commercial Power Systems Technical Conference (ICPS).
• Ranjan, C., Akhtar, S.J. & Kumar, P. (2019). Design and fabrication of quad copter with rechargeable solar power source. AIP Conference Proceedings 2200, 020004, https://doi.org/10.1063/1.5141174 Ranquist, E.A., Steiner, C.M. & Argrow, B. (2016). Exploring the Range of Weather Impacts on UAS Operations. Journal of National Center for Atmospheric Research (NCAR), Boulder, Colorado. Shah, F. A., Sheikh, S. S., Mir, U.I. & Akhtar, S. (2019). Battery Health Monitoring for Lithium-ion Batteries”, International Conference on Power Generation Systems Renewable Energy Technologies (PGSRET) Singh, J. & Dhuheir, M. (2020). Navigation and Obstacle Avoidance System in Unknown Environment. CCECE, https://doi.org/10.1109/CCECE47787.2020.9255754 Vijayanandh, R., Ramesh M., G, Ram., Thianesh, U.K., Venkatesan, K. & Senthil, M., (2019). Research of Noise in the Unmanned Aerial Vehicle’s Propeller using CFD. IJEAT, https://doi.org/10.35940/ijeat.F1031.0886S19 Villa, T. F., Gonzalez, F., Miljievic, B., Ristovski, Z. D. & Morawsk, L. (2016). An overview of small unmanned aerial vehicles for air quality measurements: Present applications and future prospective. Sensors, 4, 23-29, https://doi.org/10.3390/s16071072 Vohra, D.S., Garg, P. K. & Ghosh S. K. (2021). Power management of drones. 2nd International Conference on Unmanned Aerial Systems in Geomatics. Yeom, S. & Nam, D. H. (2021). Moving Vehicle Tracking with a Moving Drone Based on Track. MDPI Journal on Association of Applied Sciences, https://doi.org/10.3390/app11094046