Exploring drone classifications and applications: a review

Alireza Gholami

doi:10.26833/ijeg.1428724

Derleme

Yıl 2024, Cilt: 9 Sayı: 3, 418 - 442, 31.10.2024

Alireza Gholami

https://doi.org/10.26833/ijeg.1428724

Cited By: 2

Öz

Kaynakça

1. Naren, N., et al., IoMT and DNN-Enabled Drone-Assisted Covid-19 Screening and Detection Framework for Rural Areas. IEEE Internet of Things Magazine, 2021. 4(2): p. 4-9.
2. Emimi, M., M. Khaleel, and A. Alkrash, The Current Opportunities and Challenges in Drone Technology. International Journal of Electrical Engineering and Sustainability (IJEES), 2023. 1(3): p. 74-89.
3. Gholami, A., Role of Drone Technology in Alleviating the Pandemic and Disasters. International Journal of Research Publication and Reviews, 2024. 5(4): p. 6679-6708.
4. Petrides, P., et al., Disaster Prevention and Emergency Response Using Unmanned Aerial Systems, in Smart Cities in the Mediterranean: Coping with Sustainability Objectives in Small and Medium-sized Cities and Island Communities, A. Stratigea, E. Kyriakides, and C. Nicolaides, Editors. 2017, Springer International Publishing: Cham. p. 379-403.
5. Shahmoradi, J., et al., A Comprehensive Review of Applications of Drone Technology in the Mining Industry. Drones, 2020. 4(3): p. 34.
6. Apvrille, L. and L.W. Li, 9 - Safe and Secure Support for Public Safety Networks, in Wireless Public Safety Networks 3, D. Câmara and N. Nikaein, Editors. 2017, Elsevier. p. 185-210.
7. Baxter, P.J., Catastrophes - Natural and Man-Made Disasters, in Conflict and Catastrophe Medicine: A Practical Guide, J. Ryan, et al., Editors. 2002, Springer London: London. p. 27-48.
8. Thavasi, P.T. and C.D. Suriyakala, Sensors and Tracking Methods Used in Wireless Sensor Network Based Unmanned Search and Rescue System -A Review. Procedia Engineering, 2012. 38: p. 1935-1945.
9. Van Tilburg, C., First report of using portable unmanned aircraft systems (drones) for search and rescue. Wilderness & environmental medicine, 2017. 28(2): p. 116-118.
10. Watts, A.C., V.G. Ambrosia, and E.A. Hinkley, Unmanned Aircraft Systems in Remote Sensing and Scientific Research: Classification and Considerations of Use. Remote Sensing, 2012. 4(6): p. 1671-1692.
11. Hassanalian, M. and A. Abdelkefi, Classifications, applications, and design challenges of drones: A review. Progress in Aerospace Sciences, 2017. 91: p. 99-131.
12. Cai, G., J. Dias, and L. Seneviratne, A survey of small-scale unmanned aerial vehicles: Recent advances and future development trends. Unmanned Systems, 2014. 2(02): p. 175-199.
13. Yahuza, M., et al., Internet of Drones Security and Privacy Issues: Taxonomy and Open Challenges. IEEE Access, 2021. 9: p. 57243-57270.
14. Elmeseiry, N., N. Alshaer, and T. Ismail, A Detailed Survey and Future Directions of Unmanned Aerial Vehicles (UAVs) with Potential Applications. Aerospace, 2021. 8(12): p. 363.
15. Zhang, C., et al., A comprehensive review of electrochemical hybrid power supply systems and intelligent energy managements for unmanned aerial vehicles in public services. Energy and AI, 2022. 9: p. 100175.
16. Liu, Z., et al., Control techniques of tilt rotor unmanned aerial vehicle systems: A review. Chinese Journal of Aeronautics, 2017. 30(1): p. 135-148.
17. Cetinsoy, E., et al., Design and construction of a novel quad tilt-wing UAV. Mechatronics, 2012. 22(6): p. 723-745.
18. Ro, K., J. Kamman, and J. Barlow, Flight Perfornance Analysis of Freewing Tilt-Body Unmanned Aerial Vehicle, in AIAA Atmospheric Flight Mechanics Conference and Exhibit. 2012.
19. Indriyanto, T. and Y.I. Jenie. Modeling and simulation of a ducted fan unmanned aerial vehicle (uav) using x-plane simulation software. in Regional Conference on Mechanical and Aerospace Technology, Bali. 2010.
20. Nonami, K., et al., Autonomous Flying Robots: Unmanned Aerial Vehicles and Micro Aerial Vehicles. 2010: Springer Japan. 21. Kamal, M.V., et al., Drone/UAV Design Development is Important in a Wide Range of Applications, in Drone Technology. 2023. p. 53-67.
22. Gholami, A., Analyzing Fixed-Wing Drone Design and Evaluating Financial Viability in Unmanned Aerial Vehicle, Journal of Multidisciplinary Engineering Science Studies (JMESS), 2023, 9(9): p. 5186-5193.
23. Tiwari, M., et al., Contemporary Research in Electronics, Computing and Mechanical Sciences. 2020.
24. Francesco, R., et al. Design in nature and engineering: knowledge transfer trough a data-base of biological solutions. in Proceedings of TMCE 2010 Symposium. 2010. Delft Univ technology.
25. Stefanovic, V., M. Marjanovic, and M. Bajovic. Conceptual system designs civil UAV for typical aerial work applications. in Proceedings of the 5th International Scientific Conference on Defensive Technologies, Belgrade, Serbia. 2012.
26. DARPA looking for VTOL UAV to plant covert spy devices. 2010 [cited 2024 4 April 2024]; Available from: https://www.homelandsecuritynewswire.com/darpa-looking-vtol-uav-plant-covert-spy-devices.
27. Naval-technology. Bell Eagle Eye Tiltrotor UAV. 2010 [cited 2024 4 April 2024]; Available from: https://www.naval-technology.com/projects/belleagleeyeuav/.
28. Austin, R., Unmanned aircraft systems: UAVS design, development and deployment. 2011: John Wiley & Sons.
29. Bell Boeing V-22 Osprey. 2023 [cited 2023 4 November 2023]; Available from: https://en.wikipedia.org/wiki/Bell_Boeing_V-22_Osprey.
30. Salazar, R.D., M. Hassanalian, and A. Abdelkefi. Defining a conceptual design for a tilt-rotor micro air vehicle for a well-defined mission. in 55th AIAA Aerospace Sciences Meeting. 2017.
31. Ro, K., et al., Flight testing of a free-wing tilt-body aircraft, in AIAA Infotech@ Aerospace 2010. 2010. p. 3449.
32. Porter, R.F., et al., Analytical Study of a Free-wing/free-trimmer Concept. 1978.
33. Ko, A., O. Ohanian, and P. Gelhausen, Ducted Fan UAV Modeling and Simulation in Preliminary Design, in AIAA Modeling and Simulation Technologies Conference and Exhibit. 2012.
34. Romero, H., R. Benosman, and R. Lozano. Stabilization and location of a four rotor helicopter applying vision. in 2006 American Control Conference. 2006.
35. AirJelly. 2023 [cited 2023 4 NOvember 2023]; Available from: https://www.festo.com/us/en/e/about-festo/research-and-development/bionic-learning-network/highlights-from-2006-to-2009/airjelly-id_33841/.
36. Alpha Unmanned Systems, SL Takes Off in Israel. 2015 [cited 2024 4 April 2024]; Available from: https://www.asiapacificsecuritymagazine.com/alpha-unmanned-systems-sl-takes-off-in-israel/.
37. Muraoka, K., N. Okada, and D. Kubo, Quad Tilt Wing VTOL UAV: Aerodynamic Characteristics and Prototype Flight, in AIAA Infotech@Aerospace Conference. 2009, American Institute of Aeronautics and Astronautics.
38. Chronister, N., The Ornithopter Design Manual. Published by the Ornithopter Zone, 2008.
39. SmartBird. 2023 [cited 2023 15 November 2023]; Available from: https://www.festo.com/us/en/e/about-festo/research-and-development/bionic-learning-network/highlights-from-2010-to-2012/smartbird-id_33686/.
40. van Holten, T., M. Heiligers, and G.-J. van de Waal. The Ornicopter: a single rotor without reaction torque, basic principles. in 24th international congress of the aeronautical sciences. 2004.
41. Mueller, T.J., Fixed and flapping wing aerodynamics for micro air vehicle applications. 2001: AIAA.
42. Hassanalian, M., et al., A novel methodology for wing sizing of bio-inspired flapping wing micro air vehicles: theory and prototype. Acta Mechanica, 2017. 228(3): p. 1097-1113.
43. Hassanalian, M., H. Khaki, and M. Khosravi, A new method for design of fixed wing micro air vehicle. Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, 2014. 229(5): p. 837-850.
44. Mohamed, A., et al., Development and Flight Testing of a Turbulence Mitigation System for Micro Air Vehicles. Journal of Field Robotics, 2016. 33(5): p. 639-660.
45. Hassanalian, M. and A. Abdelkefi, Design, manufacturing, and flight testing of a fixed wing micro air vehicle with Zimmerman planform. Meccanica, 2017. 52(6): p. 1265-1282.
46. Taylor, S.E., Biologically inspired wing planform optimization. 2009, Worcester Polytechnic Institute.
47. Zhang, F., et al. A Novel Micro Air Vehicle with Flexible Wing Integrated with On-board Electronic Devices. in 2008 IEEE Conference on Robotics, Automation and Mechatronics. 2008.
48. Quick, D. TechJect’s Dragonfly micro UAV flies like a bird and hovers like an insect. 2012 [cited 2024 3 April 2024]; Available from: https://newatlas.com/techject-dragonfly-microuav/24900/.
49. Fenelon, M.A.A. and T. Furukawa, Design of an active flapping wing mechanism and a micro aerial vehicle using a rotary actuator. Mechanism and Machine Theory, 2010. 45(2): p. 137-146.
50. Shyy, W., et al., Aerodynamics of low Reynolds number flyers. 2008.
51. Shyy, W., et al., An Introduction to Flapping Wing Aerodynamics. Cambridge Aerospace Series. 2013, Cambridge: Cambridge University Press.
52. Viieru, D., et al. Flapping and flexible wing aerodynamics of low Reynolds number flight vehicles. in 44th AIAA Aerospace Sciences Meeting and Exhibit. 2006.
53. Orlowski, C.T. and A.R. Girard, Dynamics, stability, and control analyses of flapping wing micro-air vehicles. Progress in Aerospace Sciences, 2012. 51: p. 18-30.
54. Jones, K.D., et al., Bio-inspired design of flapping-wing micro air vehicles. The Aeronautical Journal, 2005. 109(1098): p. 385-393.
55. Joshi, P.M., Wing analysis of a flapping wing Unmanned aerial vehicle using CFD. Development, 2015. 2(5).
56. Schauwecker, K., et al. Markerless Visual Control of a Quad-Rotor Micro Aerial Vehicle by Means of On-Board Stereo Processing. 2012. Berlin, Heidelberg: Springer Berlin Heidelberg.
57. Charavgis, F., Monitoring and assessing concrete bridges with intelligent techniques. 2016.
58. Tafreshi, M., I. Shafieenejad, and A. Nikkhah, Open-loop and closed-loop optimal guidance policy for Samarai aerial vehicle with novel algorithm to Consider wind Effects. Int. J. Eng. Tech. Res.(IJETR), 2014. 2(12): p. 41-44.
59. Ubaya, H. and M. Iqbal, First person view on flying robot for real time monitoring. ICON-CSE, 2015. 1(1): p. 41-44.
60. Petricca, L., P. Ohlckers, and C. Grinde, Micro-and nano-air vehicles: State of the art. International journal of aerospace engineering, 2011. 2011.
61. Franceschini, M.R., D.W. Meyers, and K.P. Muldoon, Transponder-based beacon transmitter for see and avoid of unmanned aerial vehicles. 2011, Google Patents.
62. Micro Air Vehicle. 2024 [cited 2024 2 April 2024]; Available from: https://www.menzelphoto.com/image/I0000cEu3zYbZaBA.
63. Tech-Briefs. Wing-Flapping Aircraft Hovers and Flies. 2014 [cited 2024 2 April 2024]; Available from: https://www.techbriefs.com/component/content/article/20422-wing-flapping-aircraft-hovers-and-flies.
64. Infodron. Midgets for the Polish army. 2014 [cited 2024 2 April 2024]; Available from: https://info.dron.pl/mikrusy-dla-polskiego-wojska/.
65. Wood, R.J., et al. Progress on “pico” air vehicles. in Robotics Research: The 15th International Symposium ISRR. 2017. Springer.
66. Tanaka, H., et al. Flight dynamics of a butterfly-type ornithopter. in 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems. 2005. IEEE.
67. Shimoyama, I., et al., Insect-like microrobots with external skeletons. IEEE Control Systems Magazine, 1993. 13(1): p. 37-41.
68. Dickinson, M.H., F.-O. Lehmann, and S.P. Sane, Wing Rotation and the Aerodynamic Basis of Insect Flight. Science, 1999. 284(5422): p. 1954-1960.
69. Lim, H. Animal Photo Manipulation: 26 Photoshopped Robotic Animals. 2018 [cited 2024 4 April 2024]; Available from: https://www.hongkiat.com/blog/photo-manipulation-26-excellent-photoshopped-robotic-animals/.
70. Royofinnigan.blogspot. Was Drohnt denn da? 2014 [cited 2024 4 April 2024]; Available from: https://royofinnigan.blogspot.com/2014_05_01_archive.html.
71. Sun, L., S. Baek, and D. Pack, Distributed Probabilistic Search and Tracking of Agile Mobile Ground Targets Using a Network of Unmanned Aerial Vehicles, in Human Behavior Understanding in Networked Sensing: Theory and Applications of Networks of Sensors, P. Spagnolo, P.L. Mazzeo, and C. Distante, Editors. 2014, Springer International Publishing: Cham. p. 301-319.
72. Römer, K. Tracking Real-World Phenomena with Smart Dust. 2004. Berlin, Heidelberg: Springer Berlin Heidelberg.
73. Song, Y., Optical Communication Systems for Smart Dust. 2002, Virginia Tech.
74. Hsu, V., J.M. Kahn, and K.S. Pister, Wireless communications for smart dust. 1998: Electronics Research Laboratory, College of Engineering, University of ….
75. Kayvan. SMARTDUST. 2008 [cited 2024 2 April 2024]; Available from: https://kayvan-ibrahimovic.blogspot.com/.
76. Kupfer, P. Spies in the Skies / Researchers are developing tiny, airborne devices that can look and listen as they float. 2000 [cited 2024 2 April 2024]; Available from: https://www.sfgate.com/green/article/Spies-in-the-Skies-Researchers-are-developing-3302554.php.
77. Ibrahim, M.M.S., P. Shanmugaraja, and M.M.T. Vini, The Roles, Benefits and Design Challenges of Multi Versatile Unmanned Drones in Flying Ad-hoc Network. Contemporary Research in Electronics, Computing and Mechanical Sciences, 2018. 1.
78. Chen, S. Chinese scientists use solar energy to power control of bird brains. 2022 [cited 2023 4 October 2023]; Available from: https://www.scmp.com/news/china/science/article/3197162/chinese-scientists-use-solar-energy-power-control-bird-brains.
79. 4 Taxidermy Drones: Yes, That’s a Thing. 2015 2023]; 2 November 2023]. Available from: https://makezine.com/article/maker-news/4-taxidermy-drones-yes-thats-thing/.
80. Anderson, R.C., et al., Male response to an aggressive visual signal, the wing wave display, in swamp sparrows. Behavioral Ecology and Sociobiology, 2013. 67(4): p. 593-600.
81. Wood, R.J. Liftoff of a 60mg flapping-wing MAV. in 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems. 2007. IEEE.
82. Santos, N.M.A.d., Software platform to control squads of unmanned vehicles in realtime. 2016.
83. Coxworth, B. Amphibious HexH2o drone shoots both aerial and underwater video. 2014 [cited 2023 2 November 2023]; Available from: https://newatlas.com/hexh20-amphibious-drone/35347/.
84. Siddall, R. and M. Kovač, Launching the AquaMAV: bioinspired design for aerial–aquatic robotic platforms. Bioinspiration & Biomimetics, 2014. 9(3): p. 031001.
85. Spendlove, T. B-Unstoppable, the Tank Drone Hybrid. 2015 [cited 2024 4 April 2024]; Available from: https://www.engineering.com/story/b-unstoppable-the-tank-drone-hybrid.
86. Daler, L., et al., A bioinspired multi-modal flying and walking robot. Bioinspiration & Biomimetics, 2015. 10(1): p. 016005.
87. Bachmann, R.J., et al., A biologically inspired micro-vehicle capable of aerial and terrestrial locomotion. Mechanism and Machine Theory, 2009. 44(3): p. 513-526.
88. Wired. Parrot Hydrofoil, il drone marino. 2016 [cited 2024 4 April 2024]; Available from: https://www.wired.it/gadget/outdoor/2016/07/12/parrot-hydrofoil-drone-marino/.
89. Techcentral. Rutgers’ drone at home in water and the sky. 2016 [cited 2024 4 April 2024]; Available from: https://www.techcentral.ie/rutgers-drone-home-water-sky/.
90. Coxworth, B. Amphibious HexH2o drone shoots both aerial and underwater video. 2014 [cited 2024 4 April 2024]; Available from: https://newatlas.com/hexh20-amphibious-drone/35347/.
91. Rheakumar. Launching the AquaMAV: bioinspired design for aerial–aquatic robotic platforms. 2020 [cited 2024 4 April 2024]; Available from: https://biodesign.berkeley.edu/2020/03/15/paper-launching-the-aquamav-bioinspired-design-for-aerial-aquatic-robotic-platforms/.
92. Rodríguez, R.M., et al. Autonomous management of an UAV Airfield. in proceedings of the 3rd international conference on application and theory of automation in command and control systems, Naples, Italy. 2013.
93. Microdrones. 2023 [cited 2023 4 NOvember 2023]; Available from: https://www.microdrones.com/en/integrated-systems/.
94. Oruç, M.E., The possibilities of data usage obtained from UAV. Advanced UAV, 2022. 1(1): p. 15-23.
95. Kabadayı, A., Unmanned aerial vehicle usage in rough areas and photogrammetric data generation. Advanced UAV, 2022. 1(1): p. 8-14.
96. Zheng, Y.J., et al., Rescue Wings: Mobile Computing and Active Services Support for Disaster Rescue. IEEE Transactions on Services Computing, 2016. 9(4): p. 594-607.
97. Su, Z., et al., LVBS: Lightweight Vehicular Blockchain for Secure Data Sharing in Disaster Rescue. IEEE Transactions on Dependable and Secure Computing, 2022. 19(1): p. 19-32.
98. Wang, Y., et al. Lifesaving with RescueChain: Energy-Efficient and Partition-Tolerant Blockchain Based Secure Information Sharing for UAV-Aided Disaster Rescue. in IEEE INFOCOM 2021 - IEEE Conference on Computer Communications. 2021.
99. Bai, T., et al., Energy-Efficient Computation Offloading for Secure UAV-Edge-Computing Systems. IEEE Transactions on Vehicular Technology, 2019. 68(6): p. 6074-6087.
100. Messous, M.A., et al., A Game Theory Based Efficient Computation Offloading in an UAV Network. IEEE Transactions on Vehicular Technology, 2019. 68(5): p. 4964-4974.
101. 2021 Disasters in numbers. 2022 [cited 2023 20 October 2023]; Available from: https://reliefweb.int/report/world/2021-disasters-numbers.
102. Cred, U., Human Cost of Disasters. An Overview of the last 20 years: 2000–2019. CRED, UNDRR, Geneva, 2020.
103. Zhang, D., et al., Evaluation of a Sensor System for Detecting Humans Trapped under Rubble: A Pilot Study. Sensors, 2018. 18(3): p. 852.
104. Alsamhi, S.H., et al., UAV Computing-Assisted Search and Rescue Mission Framework for Disaster and Harsh Environment Mitigation. Drones, 2022. 6(7): p. 154.
105. Hanifa, N.R., et al., Unmanned Aerial Vehicles for geospatial mapping of damage assessment: A study case of the 2021 Mw 6.2 Mamuju-Majene, Indonesia, earthquake during the coronavirus disease 2019 (COVID-19) pandemic. Remote Sensing Applications: Society and Environment, 2022. 28: p. 100830.
106. AlAli, Z.T. and S.A. Alabady, A survey of disaster management and SAR operations using sensors and supporting techniques. International Journal of Disaster Risk Reduction, 2022. 82: p. 103295.
107. Amarasingam, N., et al., A review of UAV platforms, sensors, and applications for monitoring of sugarcane crops. Remote Sensing Applications: Society and Environment, 2022. 26: p. 100712.
108. Nyamekye, C., et al., Examining the performances of true color RGB bands from Landsat-8, Sentinel-2 and UAV as stand-alone data for mapping artisanal and Small-Scale Mining (ASM). Remote Sensing Applications: Society and Environment, 2021. 24: p. 100655.
109. Smith, M. Pars is a Search and Rescue Drone Capable of Saving Lives. 2014 [cited 2024 4 April 2024]; Available from: https://www.industrytap.com/pars-search-rescue-drone-capable-saving-lives/23729.
110. Szczerba, R.J. The Future of HealthTech - Ambulance Drones. 2014 [cited 2024 4 April 2024]; Available from: https://www.forbes.com/sites/robertszczerba/2014/12/14/ambulance-drone/.
111. Mohsan, S.A.H., et al., Towards the Unmanned Aerial Vehicles (UAVs): A Comprehensive Review. Drones, 2022. 6(6): p. 147.
112. Acuna, V., et al. Localization of WiFi Devices Using Probe Requests Captured at Unmanned Aerial Vehicles. in 2017 IEEE Wireless Communications and Networking Conference (WCNC). 2017.
113. Aicardi, I., et al., An Image-Based Approach for the Co-Registration of Multi-Temporal UAV Image Datasets. Remote Sensing, 2016. 8(9): p. 779.
114. Gomez, R., Vulnerability and Information Practices among (Undocumented) Latino Migrants. THE ELECTRONIC JOURNAL OF INFORMATION SYSTEMS IN DEVELOPING COUNTRIES, 2016. 75(1): p. 1-43.
115. Jordan, K., The disaster survivor’s hierarchy of needs: what every disaster mental health worker should know. American Counseling Association: Alexandria, VA, USA, 2015. 7.
116. Soesilo, D., et al., Drones in Humanitarian Action: A guide to the use of airborne systems in humanitarian crises. FSD Report, 2016: p. 1-60.
117. Waharte, S. and N. Trigoni. Supporting Search and Rescue Operations with UAVs. in 2010 International Conference on Emerging Security Technologies. 2010.
118. Darvishpoor, S., et al., Configurations, flight mechanisms, and applications of unmanned aerial systems: A review. Progress in Aerospace Sciences, 2020. 121: p. 100694.
119. Alotaibi, E.T., S.S. Alqefari, and A. Koubaa, LSAR: Multi-UAV Collaboration for Search and Rescue Missions. IEEE Access, 2019. 7: p. 55817-55832.
120. Erdos, D., A. Erdos, and S.E. Watkins, An experimental UAV system for search and rescue challenge. IEEE Aerospace and Electronic Systems Magazine, 2013. 28(5): p. 32-37.
121. Goodrich, M.A., et al., Supporting wilderness search and rescue using a camera-equipped mini UAV. Journal of Field Robotics, 2008. 25(1-2): p. 89-110.
122. Tomic, T., et al., Toward a Fully Autonomous UAV: Research Platform for Indoor and Outdoor Urban Search and Rescue. IEEE Robotics & Automation Magazine, 2012. 19(3): p. 46-56.
123. Scherer, J., et al., An Autonomous Multi-UAV System for Search and Rescue, in Proceedings of the First Workshop on Micro Aerial Vehicle Networks, Systems, and Applications for Civilian Use. 2015, Association for Computing Machinery: Florence, Italy. p. 33–38.
124. Bakari, M.J., K.M. Zied, and D.W. Seward, Development of a Multi-Arm Mobile Robot for Nuclear Decommissioning Tasks. International Journal of Advanced Robotic Systems, 2007. 4(4): p. 51.
125. Keys, A.S., et al., High‐Performance, Radiation‐Hardened Electronics for Space and Lunar Environments. AIP Conference Proceedings, 2008. 969(1): p. 749-756.
126. Zinkle, S.J. and G.S. Was, Materials challenges in nuclear energy. Acta Materialia, 2013. 61(3): p. 735-758.
127. Weber, W.J., et al., Radiation effects on materials in high-radiation environments: A workshop summary. Journal of Nuclear Materials, 1991. 184(1): p. 1-21.
128. Velazco, R., P. Fouillat, and R. Reis, Radiation Effects on Embedded Systems. 2007: Springer Netherlands.
129. Gallagher, K. The Sky’s the Limit with Drone-assisted Mapping. 2016 [cited 2023 20 October 2023]; Available from: https://www.simulyze.com/blog/drone-assisted-mapping-applications.
130. Restas, A., Drone Applications for Supporting Disaster Management. World Journal of Engineering and Technology, 2015. Vol.03No.03: p. 6.
131. Oliveira-da-Costa, M., et al., Effectiveness of unmanned aerial vehicles to detect Amazon dolphins. Oryx, 2020. 54(5): p. 696-698.
132. Colefax, A.P., et al., Reliability of marine faunal detections in drone-based monitoring. Ocean & Coastal Management, 2019. 174: p. 108-115.
133. van Gemert, J.C., et al. Nature Conservation Drones for Automatic Localization and Counting of Animals. 2015. Cham: Springer International Publishing.
134. van Andel, A.C., et al., Locating chimpanzee nests and identifying fruiting trees with an unmanned aerial vehicle. American Journal of Primatology, 2015. 77(10): p. 1122-1134.
135. Pirotta, V., et al., An economical custom-built drone for assessing whale health. Frontiers in Marine Science, 2017: p. 425.
136. Hartman, K., P. Van der Harst, and R. Vilela, Continuous focal group follows operated by a drone enable analysis of the relation between sociality and position in a group of male Risso’s dolphins (Grampus griseus). Frontiers in Marine Science, 2020. 7: p. 283.
137. Radoglou-Grammatikis, P., et al., A compilation of UAV applications for precision agriculture. Computer Networks, 2020. 172: p. 107148.
138. Escobar-Flores, J.G. and S. Sandoval, Unmanned aerial vehicle (UAV) for sea turtle skeleton detection in the Mexican Pacific. Remote Sensing Applications: Society and Environment, 2021. 22: p. 100501.
139. Zhao, N., et al., Antenna and Propagation Considerations for Amateur UAV Monitoring. IEEE Access, 2018. 6: p. 28001-28007.
140. Wang, Z., et al., Study on Extraction of Landslide Information Based on UAV Survey. IOP Conference Series: Earth and Environmental Science, 2021. 658(1): p. 012042.
141. MakİNecİ, H.B. and K. Erdal, Adaptation analysis of produced 3D models from UAV-SLAM and UAV-TLS data combinations. Mersin Photogrammetry Journal, 2023. 5(1): p. 18-23.
142. SİLwal, A., S. Tamang, and R. AdhİKarİ, Use of unmanned aerial vehicle (UAV) for mapping, and accuracy assessment of the orthophoto with and without using GCPs: A case study in Nepal. Mersin Photogrammetry Journal, 2022. 4(2): p. 45-52.
143. Nazar, M., et al., 3D positioning accuracy and land cover classification performance of multispectral RTK UAVs. International Journal of Engineering and Geosciences, 2023. 8(2): p. 119-128.
144. Kaplan, G., E. Senkal, and U. Avdan, Accuracy assessment of digital surface models from unmanned aerial vehicles’ imagery on archaeological sites. International Journal of Engineering and Geosciences, 2021. 6(2): p. 81-89.
145. Nex, F. and F. Remondino, UAV for 3D mapping applications: a review. Applied Geomatics, 2014. 6(1): p. 1-15.
146. SKYCRUISER A22. 2023 [cited 2023 15 October 2023]; Available from: https://southinstrument.com/product/details/pro_tid/1/id/156.html.
147. Supercam S100. 2023 [cited 2023 15 October 2023]; Available from: https://geo-matching.com/products/supercam-s100.
148. CIES 2.2 SOLAR POWERED. 2023 [cited 2023 20 October 2023]; Available from: https://geo-matching.com/products/cies-2-2-solar-powered.
149. Mirzaeinia, A. and M. Hassanalian, Minimum-Cost Drone–Nest Matching through the Kuhn–Munkres Algorithm in Smart Cities: Energy Management and Efficiency Enhancement. Aerospace, 2019. 6(11): p. 125.
150. Satlab SLA-1. 2023 [cited 2023 20 October 2023]; Available from: https://gpsnavstar.com/satlab-sla-1/.
151. Topcon releases new UAS for aerial mapping. 2023 2023]; 1 November 2023]. Available from: https://www.topconpositioning.com/insights/topcon-releases-new-uas-aerial-mapping.
152. Aeromapper Talon. 2023 [cited 2023 4 November 2023]; Available from: https://aeromao.com/products/aeromapper-talon/.
153. SKYSHOT HELIKITE AEROSTATS. 2023 [cited 2023 2 November 2023]; Available from: https://www.helikites.com/skyshot-tethered-aerostats.
154. Murison, M. Safer, Quieter and Less Ominous: Could Spacial’s Halo Rival Quads? 2017 [cited 2023 1 November 2023]; Available from: https://dronelife.com/2017/05/08/spacial-halo-drone/.
155. Italdron. 2023 [cited 2023 1 November 2023]; Available from: https://www.italdron.com/professionals-drones-and-accessories/professionals-drones/bigone-8hse-pro.
156. Asctec Falcon 8. 2023 [cited 2023 2 November 2023]; Available from: https://aerial-robotix.com/asctec-falcon-8/.
157. UAV IT180-120 / UNMANNED AERIAL VEHICLE. 2023 [cited 2023 1 November 2023]; Available from: https://www.ecagroup.com/en/solutions/uav-it180-120-unmanned-aerial-vehicle.
158. Applied Airborne - X-Mapper PPK (GNSS PPK). 2023 [cited 2023 4 November 2023]; Available from: https://geo-matching.com/products/x-mapper-ppk-gnss-ppk.
159. Metavista Breaks Guinness World Record of Multi Rotor UAV Flight Time Using Intelligent Energy Fuel Cell Power Module. 2019 [cited 2023 1 November 2023]; Available from: https://dronemajor.net/editorials/metavista-breaks-guinness-world-record-of-multi-rotor-uav-flight-time-using-intelligent-energy-fuel-cell-power-module.
160. Yang, X., et al., Survey on the novel hybrid aquatic–aerial amphibious aircraft: Aquatic unmanned aerial vehicle (AquaUAV). Progress in Aerospace Sciences, 2015. 74: p. 131-151.
161. Guo, Z., T. Li, and M. Wang. A Survey on Amphibious Robots. in 2018 37th Chinese Control Conference (CCC). 2018.
162. UVS. 2023 [cited 2023 1 November 2023]; Available from: http://www.uvssys.com/en/product.php?cid=23#tk.
163. DRS RQ-15 Neptune. 2023 [cited 2023 2 November 2023]; Available from: https://www.unols.org/sites/default/files/Neptune%20UAV.pdf.
164. Asadzadeh, S., W.J.d. Oliveira, and C.R.d. Souza Filho, UAV-based remote sensing for the petroleum industry and environmental monitoring: State-of-the-art and perspectives. Journal of Petroleum Science and Engineering, 2022. 208: p. 109633.
165. Jiménez López, J. and M. Mulero-Pázmány Drones for Conservation in Protected Areas: Present and Future. Drones, 2019. 3, DOI: 10.3390/drones3010010.
166. Margaritoff, M. Floating Waterproof Drone Makes a Kickstarter Splash. 2017 [cited 2024 4 April 2024]; Available from: https://www.thedrive.com/article/10924/floating-waterproof-drone-makes-a-kickstarter-splash.
167. Joshi, N. 4 Ways Underwater Drones Enhance Safety And Efficiency In The Energy And Utilities Sector. 2023 [cited 2024 4 April 2024]; Available from: https://www.allerin.com/blog/4-ways-underwater-drones-enhance-safety-and-efficiency-in-the-energy-and-utilities-sector.
168. Kickstarter. BIKI: First Bionic Wireless Underwater Fish Drone. 2018 [cited 2024 4 April 2024]; Available from: https://www.kickstarter.com/projects/1114649432/biki-first-bionic-wireless-underwater-fish-drone/faqs?lang=fr.
169. Stone, Z. These Six Luxury Underwater Drones Are Disrupting Fishing and Fun. 2017 [cited 2024 4 April 2024]; Available from: https://www.forbes.com/sites/zarastone/2017/06/15/these-six-luxury-underwater-drones-are-disrupting-fishing-and-fun/?sh=34b8d75d9789.
170. Tauro, F., M. Porfiri, and S. Grimaldi, Surface flow measurements from drones. Journal of Hydrology, 2016. 540: p. 240-245.
171. Meng, L., T. Hirayama, and S. Oyanagi, Underwater-Drone With Panoramic Camera for Automatic Fish Recognition Based on Deep Learning. IEEE Access, 2018. 6: p. 17880-17886.
172. Spears, A., et al. Design and development of an under-ice autonomous underwater vehicle for use in Polar regions. in 2014 Oceans - St. John's. 2014.
173. Weisler, W., et al., Testing and Characterization of a Fixed Wing Cross-Domain Unmanned Vehicle Operating in Aerial and Underwater Environments. IEEE Journal of Oceanic Engineering, 2018. 43(4): p. 969-982.
174. Esakki, B., et al., Design of Amphibious Vehicle for Unmanned Mission in Water Quality Monitoring Using Internet of Things. Sensors, 2018. 18(10): p. 3318.
175. Gao, A. and A.H. Techet. Design considerations for a robotic flying fish. in OCEANS'11 MTS/IEEE KONA. 2011.
176. Cherney, J.H., et al., Split Application of Nitrogen vs. Dairy Manure on Temperate Perennial Grasses. Forage & Grazinglands, 2010. 8(1): p. 1-13.
177. Lee, J. and S. Kwon, A Basic Study on the Selection of Required Operational Capability for Attack Drones of Army TIGER Units Using AHP Technique. J. KIMS Technol, 2023. 26(2): p. 197-204.
178. Rauch, M.S., Drones in Military Warfare: The moral and emotional implications of an emerging technology. Academy of Management Proceedings, 2021. 2021(1): p. 10599.
179. Ralston, S. DRNE: Drone Aviation Is Well-Positioned In The Tethered Aerostat Industry. 2014 [cited 2023 1 November 2023]; Available from: https://scr.zacks.com/news/news-details/2014/DRNE-Drone-Aviation-is-Well-Positioned-in-the-Tethered-Aerostat-Industry/default.aspx.
180. Imumbhon, J.O., M.D. Alam, and Y. Cao, Design and Structural Analyses of a Reciprocating S1223 High-Lift Wing for an RA-Driven VTOL UAV. Aerospace, 2021. 8(8): p. 214.
181. Excell, J. Insect inspiration: UK defence drone mimics dragonfly flight. 2016 [cited 2023 4 November 2023]; Available from: https://www.theengineer.co.uk/content/in-depth/insect-inspiration-uk-defence-drone-mimics-dragonfly-flight.
182. Hassanalian, M., et al., Performance analysis of fixed wing space drones in different solar system bodies. Acta Astronautica, 2018. 152: p. 27-48.
183. NASA Langley Plane Chosen as Mars Candidate. 2002 [cited 2023 20 October 2023]; Available from: https://mars.nasa.gov/news/446/nasa-langley-plane-chosen-as-mars-candidate/.
184. NASA's Ingenuity Mars Helicopter Succeeds in Historic First Flight. 2021 [cited 2023 26 October 2023]; Available from: https://mars.nasa.gov/news/8923/nasas-ingenuity-mars-helicopter-succeeds-in-historic-first-flight/.
185. Menges, P.A. Artificial Neural Membrane Flapping Wing NIAC Phase I Study Final Report. 2006.
186. Sjogren, W.L., et al., Mars gravity field based on a short-arc technique. Journal of Geophysical Research (1896-1977), 1975. 80(20): p. 2899-2908.
187. Mars Helicopter to Fly on NASA’s Next Red Planet Rover Mission. 2018 [cited 2023 25 October 2023]; Available from: https://www.nasa.gov/news-release/mars-helicopter-to-fly-on-nasas-next-red-planet-rover-mission/.
188. NASA’s Dragonfly Will Fly Around Titan Looking for Origins, Signs of Life. 2019 [cited 2023 30 October 2023]; Available from: https://www.nasa.gov/news-release/nasas-dragonfly-will-fly-around-titan-looking-for-origins-signs-of-life/.
189. NASA Selects Flying Mission to Study Titan for Origins, Signs of Life. 2019 [cited 2023 24 October 2023]; Available from: https://solarsystem.nasa.gov/news/986/nasa-selects-flying-mission-to-study-titan-for-origins-signs-of-life/.
190. Young, L.A., et al. Rotary-wing decelerators for probe descent through the atmosphere of venus. 2004.
191. NASA’s Mars Helicopter Testing Enters Final Phase. 2019 [cited 2023 30 October 2023]; Available from: https://www.nasa.gov/missions/mars-2020-perseverance/ingenuity-helicopter/nasas-mars-helicopter-testing-enters-final-phase/.
192. Landis, G.A., Robotic exploration of the surface and atmosphere of Venus. Acta Astronautica, 2006. 59(7): p. 570-579.
193. Landis, G.A., A. Colozza, and C.M. LaMarre, Atmospheric Flight on Venus: A Conceptual Design. Journal of Spacecraft and Rockets, 2003. 40(5): p. 672-677.
194. Xiongfeng, Z., G. Zheng, and H. Zhongxi, Sun-Seeking Eternal Flight Solar-Powered Airplane for Venus Exploration. Journal of Aerospace Engineering, 2015. 28(5): p. 04014127.
195. Pekar, N.J. Could This Become the First Mars Airplane? 2015 [cited 2023 29 October 2023]; Available from: https://www.nasa.gov/aeronautics/could-this-become-the-first-mars-airplane/.
196. Pellerito, V., M. Olivas, and M. Hassanalian, Design a Fixed-Wing Unmanned Aerial Vehicle with Dynamic Soaring Capability for Titan Exploration, in AIAA Scitech 2020 Forum.
197. Pergola, P. and V. Cipolla, Mission architecture for Mars exploration based on small satellites and planetary drones. International Journal of Intelligent Unmanned Systems, 2016. 4.
198. Collins, N.S., System design and nonlinear state-dependent Riccati equation control of an autonomous Y-4 tilt-rotor aerobot for Martian exploration, C.I. Underwood and S. University of, Editors. 2016.
199. Aguirre, J., et al. Mars Intelligent Reconnaissance Aerial and Ground Explorer (MIRAGE). 2007.
200. Hassanalian, M., D. Rice, and A. Abdelkefi, Evolution of space drones for planetary exploration: A review. Progress in Aerospace Sciences, 2018. 97: p. 61-105.
201. Scientific Balloons. 2023 [cited 2023 1 November 2023]; Available from: https://www.nasa.gov/scientificballoons/.
202. MARS BALLOONS. 2023 [cited 2023 2 November 2023]; Available from: https://www.gaerospace.com/space-exploration/planetary-aerobots/mars-balloons/.
203. Zegers, T.E., et al., ExoFly: a flapping wing aerobot for planetary survey and exploration. 2008.
204. Egan, P. MLABs Bat Wing UAV Ornithopter Unveiled for Mission to Mars. 2013 [cited 2023 3 November 2023]; Available from: https://www.suasnews.com/2013/07/mlabs-bat-wing-uav-ornithopter-unveiled-for-mission-to-mars/.
205. Griffin, M.D., Space vehicle design. 2004: AIAA.
206. Soler, M., Fundamentals of Aerospace Engineering: An introductory course to aeronautical engineering. 2014: Manuel Soler.
207. Pope, D.K. Two delivery drones built by Google will soon be tested in the US. 2015 [cited 2023 2 November 2023]; Available from: https://www.techspot.com/news/62412-two-delivery-drones-built-google-soon-tested-us.html.
208. Fingas, R. Amazon teases new details of planned Prime Air drone delivery service. 2015 [cited 2023 1 November 2023]; Available from: https://appleinsider.com/articles/15/11/30/amazon-teases-new-details-of-planned-prime-air-drone-delivery-service.
209. DRONES. 2023 [cited 2023 1 November 2023]; Available from: https://www.dhl.com/global-en/home/insights-and-innovation/thought-leadership/trend-reports/drones-logistics.html.
210. Howell, C.T.I., et al. The First Government Sanctioned Delivery of Medical Supplies by Remotely Controlled Unmanned Aerial System (UAS). 2016 [cited 2023 30 October 2023]; Available from: https://ntrs.nasa.gov/citations/20160009120.
211. UAV. 2023 [cited 2023 30 October 2023]; Available from: https://www.uav.org/zipline-begins-drone-delivery-of-covid-19-tests-in-ghana-is/.
212. Drones will be used to transport medical supplies across the Solent to support the response to COVID-19. 2020 [cited 2023 30 October 2023]; Available from: https://www.solent-transport.com/?s=drone.
213. LIN, J. and P.W. SINGER. Meet China’s growing fleet of automated delivery drones. 2018 [cited 2023 2 November 2023]; Available from: https://www.popsci.com/china-drone-deliveries/.
214. Brett, D. SF Express expects to have 1,000 VTOL cargo drones by 2031. 2021 [cited 2023 28 October 2023]; Available from: https://www.aircargonews.net/airlines/sf-express-expects-to-have-1000-vtol-cargo-drones-by-2031/.
215. Maksel, R. Delivery by Drone. 2015 [cited 2023 28 October 2023]; Available from: https://www.smithsonianmag.com/air-space-magazine/delivery-by-drone-180955988/.
216. Straight, B. Flirtey firing up production, taking preorders for delivery drone. 2021 [cited 2023 4 November 2023]; Available from: https://www.freightwaves.com/news/flirtey-firing-up-production-taking-preorders-for-delivery-drone.
217. Boukoberine, M.N., Z. Zhou, and M. Benbouzid, A critical review on unmanned aerial vehicles power supply and energy management: Solutions, strategies, and prospects. Applied Energy, 2019. 255: p. 113823.
218. Drone Delivery Applications. 2023 [cited 2023 28 October 2023]; Available from: https://dronedeliverycanada.com/applications/.
219. Industrial Drone with Maximum Payload 35kg, Maximum Altitude 2,800m, Cruising Range of 90km Yamaha Motor: FAZER R G2 Automated Navigation Unmanned Helicopter Showcased at the October "Japan International Aerospace Exhibition 2016". 2016 [cited 2023 29 October 2023]; Available from: https://global.yamaha-motor.com/news/2016/1011/fazer_r_g2.html.
220. Transforming the way goods are transported. 2023 [cited 2023 28 October 2023]; Available from: https://x.company/projects/wing/.
221. Wingcopter. 2023 [cited 2023 30 October 2023]; Available from: https://wingcopter.com/.
222. Drone Delivery Technology. 2023 [cited 2023 2 November 2023]; Available from: https://dronedeliverycanada.com/technology/.
223. Villi, O., & Yakar, M. (2022). İnsansız Hava Araçlarının Kullanım Alanları ve Sensör Tipleri. Türkiye İnsansız Hava Araçları Dergisi, 4(2), 73-100.
224. Donmez, C., Villi, O., Berberoglu, S., & Cilek, A. (2021). Computer vision-based citrus tree detection in a cultivated environment using UAV imagery. Computers and Electronics in Agriculture, 187, 106273.
225. Yakar, M., Ulvi, A., Fidan, Ş., Karabacak, A., Villi, O., Yiğit, A. Y., ... & Hamal, S. N. G. (2023). İnsansız Hava Aracı Teknolojisi ve Operatörlüğü Eğitim Kitabı. Mersin Üniversitesi Harita Mühendisliği Kitapları.
226. Yakar, M., & Villi, O. (2023). İnsansız hava aracı uygulama alanları. Mersin Üniversitesi Harita Mühendisliği Kitapları.
227. Villi, O., & Yakar, M. (2024). İnsansız Hava Araçlarının Segmentasyon Çalışmalarında Kullanımı. Türkiye İnsansız Hava Araçları Dergisi, 6(1), 30-41.
228. Villi, O., & Yakar, M. (2023). İnsansız Hava Araçları ve Coğrafi Bilgi Sistemleri Uygulamaları. Türkiye Coğrafi Bilgi Sistemleri Dergisi, 5(1), 20-33.
229. Villi, O., Villi, Ö., & Yakar, M. (2023). 3 Boyutlu Yazıcıların İnsansız Hava Aracı Uygulamalarında Kullanımı. Türkiye İnsansız Hava Araçları Dergisi, 5(2), 81-97.

Exploring drone classifications and applications: a review

Yıl 2024, Cilt: 9 Sayı: 3, 418 - 442, 31.10.2024

Alireza Gholami

https://doi.org/10.26833/ijeg.1428724

Cited By: 2

Öz

This review comprehensively investigates the development and diverse application of drone technologies across various industries through a systematic literature review. The study employs a rigorous methodology, beginning with a detailed literature search across major scientific databases to capture the most recent and relevant studies concerning drone technology. The findings synthesize critical insights into the evolving drone technologies, from compact models designed for tight spaces to advanced systems capable of high-altitude, long-duration missions. Emphasizing their operational versatility, the review highlights the adaptation of drones for a multitude of tasks, such as environmental monitoring, disaster management, agricultural optimization, infrastructure analysis, and military operations. Future studies are encouraged to explore the potential for autonomous drone operation through the integration of artificial intelligence and machine learning, aiming to enhance efficiency and adaptability across various sectors.

Anahtar Kelimeler

Drones, UAV, Unmanned Aerial Vehicles Classification, Applications

Kaynakça

1. Naren, N., et al., IoMT and DNN-Enabled Drone-Assisted Covid-19 Screening and Detection Framework for Rural Areas. IEEE Internet of Things Magazine, 2021. 4(2): p. 4-9.
2. Emimi, M., M. Khaleel, and A. Alkrash, The Current Opportunities and Challenges in Drone Technology. International Journal of Electrical Engineering and Sustainability (IJEES), 2023. 1(3): p. 74-89.
3. Gholami, A., Role of Drone Technology in Alleviating the Pandemic and Disasters. International Journal of Research Publication and Reviews, 2024. 5(4): p. 6679-6708.
4. Petrides, P., et al., Disaster Prevention and Emergency Response Using Unmanned Aerial Systems, in Smart Cities in the Mediterranean: Coping with Sustainability Objectives in Small and Medium-sized Cities and Island Communities, A. Stratigea, E. Kyriakides, and C. Nicolaides, Editors. 2017, Springer International Publishing: Cham. p. 379-403.
5. Shahmoradi, J., et al., A Comprehensive Review of Applications of Drone Technology in the Mining Industry. Drones, 2020. 4(3): p. 34.
6. Apvrille, L. and L.W. Li, 9 - Safe and Secure Support for Public Safety Networks, in Wireless Public Safety Networks 3, D. Câmara and N. Nikaein, Editors. 2017, Elsevier. p. 185-210.
7. Baxter, P.J., Catastrophes - Natural and Man-Made Disasters, in Conflict and Catastrophe Medicine: A Practical Guide, J. Ryan, et al., Editors. 2002, Springer London: London. p. 27-48.
8. Thavasi, P.T. and C.D. Suriyakala, Sensors and Tracking Methods Used in Wireless Sensor Network Based Unmanned Search and Rescue System -A Review. Procedia Engineering, 2012. 38: p. 1935-1945.
9. Van Tilburg, C., First report of using portable unmanned aircraft systems (drones) for search and rescue. Wilderness & environmental medicine, 2017. 28(2): p. 116-118.
10. Watts, A.C., V.G. Ambrosia, and E.A. Hinkley, Unmanned Aircraft Systems in Remote Sensing and Scientific Research: Classification and Considerations of Use. Remote Sensing, 2012. 4(6): p. 1671-1692.
11. Hassanalian, M. and A. Abdelkefi, Classifications, applications, and design challenges of drones: A review. Progress in Aerospace Sciences, 2017. 91: p. 99-131.
12. Cai, G., J. Dias, and L. Seneviratne, A survey of small-scale unmanned aerial vehicles: Recent advances and future development trends. Unmanned Systems, 2014. 2(02): p. 175-199.
13. Yahuza, M., et al., Internet of Drones Security and Privacy Issues: Taxonomy and Open Challenges. IEEE Access, 2021. 9: p. 57243-57270.
14. Elmeseiry, N., N. Alshaer, and T. Ismail, A Detailed Survey and Future Directions of Unmanned Aerial Vehicles (UAVs) with Potential Applications. Aerospace, 2021. 8(12): p. 363.
15. Zhang, C., et al., A comprehensive review of electrochemical hybrid power supply systems and intelligent energy managements for unmanned aerial vehicles in public services. Energy and AI, 2022. 9: p. 100175.
16. Liu, Z., et al., Control techniques of tilt rotor unmanned aerial vehicle systems: A review. Chinese Journal of Aeronautics, 2017. 30(1): p. 135-148.
17. Cetinsoy, E., et al., Design and construction of a novel quad tilt-wing UAV. Mechatronics, 2012. 22(6): p. 723-745.
18. Ro, K., J. Kamman, and J. Barlow, Flight Perfornance Analysis of Freewing Tilt-Body Unmanned Aerial Vehicle, in AIAA Atmospheric Flight Mechanics Conference and Exhibit. 2012.
19. Indriyanto, T. and Y.I. Jenie. Modeling and simulation of a ducted fan unmanned aerial vehicle (uav) using x-plane simulation software. in Regional Conference on Mechanical and Aerospace Technology, Bali. 2010.
20. Nonami, K., et al., Autonomous Flying Robots: Unmanned Aerial Vehicles and Micro Aerial Vehicles. 2010: Springer Japan. 21. Kamal, M.V., et al., Drone/UAV Design Development is Important in a Wide Range of Applications, in Drone Technology. 2023. p. 53-67.
22. Gholami, A., Analyzing Fixed-Wing Drone Design and Evaluating Financial Viability in Unmanned Aerial Vehicle, Journal of Multidisciplinary Engineering Science Studies (JMESS), 2023, 9(9): p. 5186-5193.
23. Tiwari, M., et al., Contemporary Research in Electronics, Computing and Mechanical Sciences. 2020.
24. Francesco, R., et al. Design in nature and engineering: knowledge transfer trough a data-base of biological solutions. in Proceedings of TMCE 2010 Symposium. 2010. Delft Univ technology.
25. Stefanovic, V., M. Marjanovic, and M. Bajovic. Conceptual system designs civil UAV for typical aerial work applications. in Proceedings of the 5th International Scientific Conference on Defensive Technologies, Belgrade, Serbia. 2012.
26. DARPA looking for VTOL UAV to plant covert spy devices. 2010 [cited 2024 4 April 2024]; Available from: https://www.homelandsecuritynewswire.com/darpa-looking-vtol-uav-plant-covert-spy-devices.
27. Naval-technology. Bell Eagle Eye Tiltrotor UAV. 2010 [cited 2024 4 April 2024]; Available from: https://www.naval-technology.com/projects/belleagleeyeuav/.
28. Austin, R., Unmanned aircraft systems: UAVS design, development and deployment. 2011: John Wiley & Sons.
29. Bell Boeing V-22 Osprey. 2023 [cited 2023 4 November 2023]; Available from: https://en.wikipedia.org/wiki/Bell_Boeing_V-22_Osprey.
30. Salazar, R.D., M. Hassanalian, and A. Abdelkefi. Defining a conceptual design for a tilt-rotor micro air vehicle for a well-defined mission. in 55th AIAA Aerospace Sciences Meeting. 2017.
31. Ro, K., et al., Flight testing of a free-wing tilt-body aircraft, in AIAA Infotech@ Aerospace 2010. 2010. p. 3449.
32. Porter, R.F., et al., Analytical Study of a Free-wing/free-trimmer Concept. 1978.
33. Ko, A., O. Ohanian, and P. Gelhausen, Ducted Fan UAV Modeling and Simulation in Preliminary Design, in AIAA Modeling and Simulation Technologies Conference and Exhibit. 2012.
34. Romero, H., R. Benosman, and R. Lozano. Stabilization and location of a four rotor helicopter applying vision. in 2006 American Control Conference. 2006.
35. AirJelly. 2023 [cited 2023 4 NOvember 2023]; Available from: https://www.festo.com/us/en/e/about-festo/research-and-development/bionic-learning-network/highlights-from-2006-to-2009/airjelly-id_33841/.
36. Alpha Unmanned Systems, SL Takes Off in Israel. 2015 [cited 2024 4 April 2024]; Available from: https://www.asiapacificsecuritymagazine.com/alpha-unmanned-systems-sl-takes-off-in-israel/.
37. Muraoka, K., N. Okada, and D. Kubo, Quad Tilt Wing VTOL UAV: Aerodynamic Characteristics and Prototype Flight, in AIAA Infotech@Aerospace Conference. 2009, American Institute of Aeronautics and Astronautics.
38. Chronister, N., The Ornithopter Design Manual. Published by the Ornithopter Zone, 2008.
39. SmartBird. 2023 [cited 2023 15 November 2023]; Available from: https://www.festo.com/us/en/e/about-festo/research-and-development/bionic-learning-network/highlights-from-2010-to-2012/smartbird-id_33686/.
40. van Holten, T., M. Heiligers, and G.-J. van de Waal. The Ornicopter: a single rotor without reaction torque, basic principles. in 24th international congress of the aeronautical sciences. 2004.
41. Mueller, T.J., Fixed and flapping wing aerodynamics for micro air vehicle applications. 2001: AIAA.
42. Hassanalian, M., et al., A novel methodology for wing sizing of bio-inspired flapping wing micro air vehicles: theory and prototype. Acta Mechanica, 2017. 228(3): p. 1097-1113.
43. Hassanalian, M., H. Khaki, and M. Khosravi, A new method for design of fixed wing micro air vehicle. Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, 2014. 229(5): p. 837-850.
44. Mohamed, A., et al., Development and Flight Testing of a Turbulence Mitigation System for Micro Air Vehicles. Journal of Field Robotics, 2016. 33(5): p. 639-660.
45. Hassanalian, M. and A. Abdelkefi, Design, manufacturing, and flight testing of a fixed wing micro air vehicle with Zimmerman planform. Meccanica, 2017. 52(6): p. 1265-1282.
46. Taylor, S.E., Biologically inspired wing planform optimization. 2009, Worcester Polytechnic Institute.
47. Zhang, F., et al. A Novel Micro Air Vehicle with Flexible Wing Integrated with On-board Electronic Devices. in 2008 IEEE Conference on Robotics, Automation and Mechatronics. 2008.
48. Quick, D. TechJect’s Dragonfly micro UAV flies like a bird and hovers like an insect. 2012 [cited 2024 3 April 2024]; Available from: https://newatlas.com/techject-dragonfly-microuav/24900/.
49. Fenelon, M.A.A. and T. Furukawa, Design of an active flapping wing mechanism and a micro aerial vehicle using a rotary actuator. Mechanism and Machine Theory, 2010. 45(2): p. 137-146.
50. Shyy, W., et al., Aerodynamics of low Reynolds number flyers. 2008.
51. Shyy, W., et al., An Introduction to Flapping Wing Aerodynamics. Cambridge Aerospace Series. 2013, Cambridge: Cambridge University Press.
52. Viieru, D., et al. Flapping and flexible wing aerodynamics of low Reynolds number flight vehicles. in 44th AIAA Aerospace Sciences Meeting and Exhibit. 2006.
53. Orlowski, C.T. and A.R. Girard, Dynamics, stability, and control analyses of flapping wing micro-air vehicles. Progress in Aerospace Sciences, 2012. 51: p. 18-30.
54. Jones, K.D., et al., Bio-inspired design of flapping-wing micro air vehicles. The Aeronautical Journal, 2005. 109(1098): p. 385-393.
55. Joshi, P.M., Wing analysis of a flapping wing Unmanned aerial vehicle using CFD. Development, 2015. 2(5).
56. Schauwecker, K., et al. Markerless Visual Control of a Quad-Rotor Micro Aerial Vehicle by Means of On-Board Stereo Processing. 2012. Berlin, Heidelberg: Springer Berlin Heidelberg.
57. Charavgis, F., Monitoring and assessing concrete bridges with intelligent techniques. 2016.
58. Tafreshi, M., I. Shafieenejad, and A. Nikkhah, Open-loop and closed-loop optimal guidance policy for Samarai aerial vehicle with novel algorithm to Consider wind Effects. Int. J. Eng. Tech. Res.(IJETR), 2014. 2(12): p. 41-44.
59. Ubaya, H. and M. Iqbal, First person view on flying robot for real time monitoring. ICON-CSE, 2015. 1(1): p. 41-44.
60. Petricca, L., P. Ohlckers, and C. Grinde, Micro-and nano-air vehicles: State of the art. International journal of aerospace engineering, 2011. 2011.
61. Franceschini, M.R., D.W. Meyers, and K.P. Muldoon, Transponder-based beacon transmitter for see and avoid of unmanned aerial vehicles. 2011, Google Patents.
62. Micro Air Vehicle. 2024 [cited 2024 2 April 2024]; Available from: https://www.menzelphoto.com/image/I0000cEu3zYbZaBA.
63. Tech-Briefs. Wing-Flapping Aircraft Hovers and Flies. 2014 [cited 2024 2 April 2024]; Available from: https://www.techbriefs.com/component/content/article/20422-wing-flapping-aircraft-hovers-and-flies.
64. Infodron. Midgets for the Polish army. 2014 [cited 2024 2 April 2024]; Available from: https://info.dron.pl/mikrusy-dla-polskiego-wojska/.
65. Wood, R.J., et al. Progress on “pico” air vehicles. in Robotics Research: The 15th International Symposium ISRR. 2017. Springer.
66. Tanaka, H., et al. Flight dynamics of a butterfly-type ornithopter. in 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems. 2005. IEEE.
67. Shimoyama, I., et al., Insect-like microrobots with external skeletons. IEEE Control Systems Magazine, 1993. 13(1): p. 37-41.
68. Dickinson, M.H., F.-O. Lehmann, and S.P. Sane, Wing Rotation and the Aerodynamic Basis of Insect Flight. Science, 1999. 284(5422): p. 1954-1960.
69. Lim, H. Animal Photo Manipulation: 26 Photoshopped Robotic Animals. 2018 [cited 2024 4 April 2024]; Available from: https://www.hongkiat.com/blog/photo-manipulation-26-excellent-photoshopped-robotic-animals/.
70. Royofinnigan.blogspot. Was Drohnt denn da? 2014 [cited 2024 4 April 2024]; Available from: https://royofinnigan.blogspot.com/2014_05_01_archive.html.
71. Sun, L., S. Baek, and D. Pack, Distributed Probabilistic Search and Tracking of Agile Mobile Ground Targets Using a Network of Unmanned Aerial Vehicles, in Human Behavior Understanding in Networked Sensing: Theory and Applications of Networks of Sensors, P. Spagnolo, P.L. Mazzeo, and C. Distante, Editors. 2014, Springer International Publishing: Cham. p. 301-319.
72. Römer, K. Tracking Real-World Phenomena with Smart Dust. 2004. Berlin, Heidelberg: Springer Berlin Heidelberg.
73. Song, Y., Optical Communication Systems for Smart Dust. 2002, Virginia Tech.
74. Hsu, V., J.M. Kahn, and K.S. Pister, Wireless communications for smart dust. 1998: Electronics Research Laboratory, College of Engineering, University of ….
75. Kayvan. SMARTDUST. 2008 [cited 2024 2 April 2024]; Available from: https://kayvan-ibrahimovic.blogspot.com/.
76. Kupfer, P. Spies in the Skies / Researchers are developing tiny, airborne devices that can look and listen as they float. 2000 [cited 2024 2 April 2024]; Available from: https://www.sfgate.com/green/article/Spies-in-the-Skies-Researchers-are-developing-3302554.php.
77. Ibrahim, M.M.S., P. Shanmugaraja, and M.M.T. Vini, The Roles, Benefits and Design Challenges of Multi Versatile Unmanned Drones in Flying Ad-hoc Network. Contemporary Research in Electronics, Computing and Mechanical Sciences, 2018. 1.
78. Chen, S. Chinese scientists use solar energy to power control of bird brains. 2022 [cited 2023 4 October 2023]; Available from: https://www.scmp.com/news/china/science/article/3197162/chinese-scientists-use-solar-energy-power-control-bird-brains.
79. 4 Taxidermy Drones: Yes, That’s a Thing. 2015 2023]; 2 November 2023]. Available from: https://makezine.com/article/maker-news/4-taxidermy-drones-yes-thats-thing/.
80. Anderson, R.C., et al., Male response to an aggressive visual signal, the wing wave display, in swamp sparrows. Behavioral Ecology and Sociobiology, 2013. 67(4): p. 593-600.
81. Wood, R.J. Liftoff of a 60mg flapping-wing MAV. in 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems. 2007. IEEE.
82. Santos, N.M.A.d., Software platform to control squads of unmanned vehicles in realtime. 2016.
83. Coxworth, B. Amphibious HexH2o drone shoots both aerial and underwater video. 2014 [cited 2023 2 November 2023]; Available from: https://newatlas.com/hexh20-amphibious-drone/35347/.
84. Siddall, R. and M. Kovač, Launching the AquaMAV: bioinspired design for aerial–aquatic robotic platforms. Bioinspiration & Biomimetics, 2014. 9(3): p. 031001.
85. Spendlove, T. B-Unstoppable, the Tank Drone Hybrid. 2015 [cited 2024 4 April 2024]; Available from: https://www.engineering.com/story/b-unstoppable-the-tank-drone-hybrid.
86. Daler, L., et al., A bioinspired multi-modal flying and walking robot. Bioinspiration & Biomimetics, 2015. 10(1): p. 016005.
87. Bachmann, R.J., et al., A biologically inspired micro-vehicle capable of aerial and terrestrial locomotion. Mechanism and Machine Theory, 2009. 44(3): p. 513-526.
88. Wired. Parrot Hydrofoil, il drone marino. 2016 [cited 2024 4 April 2024]; Available from: https://www.wired.it/gadget/outdoor/2016/07/12/parrot-hydrofoil-drone-marino/.
89. Techcentral. Rutgers’ drone at home in water and the sky. 2016 [cited 2024 4 April 2024]; Available from: https://www.techcentral.ie/rutgers-drone-home-water-sky/.
90. Coxworth, B. Amphibious HexH2o drone shoots both aerial and underwater video. 2014 [cited 2024 4 April 2024]; Available from: https://newatlas.com/hexh20-amphibious-drone/35347/.
91. Rheakumar. Launching the AquaMAV: bioinspired design for aerial–aquatic robotic platforms. 2020 [cited 2024 4 April 2024]; Available from: https://biodesign.berkeley.edu/2020/03/15/paper-launching-the-aquamav-bioinspired-design-for-aerial-aquatic-robotic-platforms/.
92. Rodríguez, R.M., et al. Autonomous management of an UAV Airfield. in proceedings of the 3rd international conference on application and theory of automation in command and control systems, Naples, Italy. 2013.
93. Microdrones. 2023 [cited 2023 4 NOvember 2023]; Available from: https://www.microdrones.com/en/integrated-systems/.
94. Oruç, M.E., The possibilities of data usage obtained from UAV. Advanced UAV, 2022. 1(1): p. 15-23.
95. Kabadayı, A., Unmanned aerial vehicle usage in rough areas and photogrammetric data generation. Advanced UAV, 2022. 1(1): p. 8-14.
96. Zheng, Y.J., et al., Rescue Wings: Mobile Computing and Active Services Support for Disaster Rescue. IEEE Transactions on Services Computing, 2016. 9(4): p. 594-607.
97. Su, Z., et al., LVBS: Lightweight Vehicular Blockchain for Secure Data Sharing in Disaster Rescue. IEEE Transactions on Dependable and Secure Computing, 2022. 19(1): p. 19-32.
98. Wang, Y., et al. Lifesaving with RescueChain: Energy-Efficient and Partition-Tolerant Blockchain Based Secure Information Sharing for UAV-Aided Disaster Rescue. in IEEE INFOCOM 2021 - IEEE Conference on Computer Communications. 2021.
99. Bai, T., et al., Energy-Efficient Computation Offloading for Secure UAV-Edge-Computing Systems. IEEE Transactions on Vehicular Technology, 2019. 68(6): p. 6074-6087.
100. Messous, M.A., et al., A Game Theory Based Efficient Computation Offloading in an UAV Network. IEEE Transactions on Vehicular Technology, 2019. 68(5): p. 4964-4974.
101. 2021 Disasters in numbers. 2022 [cited 2023 20 October 2023]; Available from: https://reliefweb.int/report/world/2021-disasters-numbers.
102. Cred, U., Human Cost of Disasters. An Overview of the last 20 years: 2000–2019. CRED, UNDRR, Geneva, 2020.
103. Zhang, D., et al., Evaluation of a Sensor System for Detecting Humans Trapped under Rubble: A Pilot Study. Sensors, 2018. 18(3): p. 852.
104. Alsamhi, S.H., et al., UAV Computing-Assisted Search and Rescue Mission Framework for Disaster and Harsh Environment Mitigation. Drones, 2022. 6(7): p. 154.
105. Hanifa, N.R., et al., Unmanned Aerial Vehicles for geospatial mapping of damage assessment: A study case of the 2021 Mw 6.2 Mamuju-Majene, Indonesia, earthquake during the coronavirus disease 2019 (COVID-19) pandemic. Remote Sensing Applications: Society and Environment, 2022. 28: p. 100830.
106. AlAli, Z.T. and S.A. Alabady, A survey of disaster management and SAR operations using sensors and supporting techniques. International Journal of Disaster Risk Reduction, 2022. 82: p. 103295.
107. Amarasingam, N., et al., A review of UAV platforms, sensors, and applications for monitoring of sugarcane crops. Remote Sensing Applications: Society and Environment, 2022. 26: p. 100712.
108. Nyamekye, C., et al., Examining the performances of true color RGB bands from Landsat-8, Sentinel-2 and UAV as stand-alone data for mapping artisanal and Small-Scale Mining (ASM). Remote Sensing Applications: Society and Environment, 2021. 24: p. 100655.
109. Smith, M. Pars is a Search and Rescue Drone Capable of Saving Lives. 2014 [cited 2024 4 April 2024]; Available from: https://www.industrytap.com/pars-search-rescue-drone-capable-saving-lives/23729.
110. Szczerba, R.J. The Future of HealthTech - Ambulance Drones. 2014 [cited 2024 4 April 2024]; Available from: https://www.forbes.com/sites/robertszczerba/2014/12/14/ambulance-drone/.
111. Mohsan, S.A.H., et al., Towards the Unmanned Aerial Vehicles (UAVs): A Comprehensive Review. Drones, 2022. 6(6): p. 147.
112. Acuna, V., et al. Localization of WiFi Devices Using Probe Requests Captured at Unmanned Aerial Vehicles. in 2017 IEEE Wireless Communications and Networking Conference (WCNC). 2017.
113. Aicardi, I., et al., An Image-Based Approach for the Co-Registration of Multi-Temporal UAV Image Datasets. Remote Sensing, 2016. 8(9): p. 779.
114. Gomez, R., Vulnerability and Information Practices among (Undocumented) Latino Migrants. THE ELECTRONIC JOURNAL OF INFORMATION SYSTEMS IN DEVELOPING COUNTRIES, 2016. 75(1): p. 1-43.
115. Jordan, K., The disaster survivor’s hierarchy of needs: what every disaster mental health worker should know. American Counseling Association: Alexandria, VA, USA, 2015. 7.
116. Soesilo, D., et al., Drones in Humanitarian Action: A guide to the use of airborne systems in humanitarian crises. FSD Report, 2016: p. 1-60.
117. Waharte, S. and N. Trigoni. Supporting Search and Rescue Operations with UAVs. in 2010 International Conference on Emerging Security Technologies. 2010.
118. Darvishpoor, S., et al., Configurations, flight mechanisms, and applications of unmanned aerial systems: A review. Progress in Aerospace Sciences, 2020. 121: p. 100694.
119. Alotaibi, E.T., S.S. Alqefari, and A. Koubaa, LSAR: Multi-UAV Collaboration for Search and Rescue Missions. IEEE Access, 2019. 7: p. 55817-55832.
120. Erdos, D., A. Erdos, and S.E. Watkins, An experimental UAV system for search and rescue challenge. IEEE Aerospace and Electronic Systems Magazine, 2013. 28(5): p. 32-37.
121. Goodrich, M.A., et al., Supporting wilderness search and rescue using a camera-equipped mini UAV. Journal of Field Robotics, 2008. 25(1-2): p. 89-110.
122. Tomic, T., et al., Toward a Fully Autonomous UAV: Research Platform for Indoor and Outdoor Urban Search and Rescue. IEEE Robotics & Automation Magazine, 2012. 19(3): p. 46-56.
123. Scherer, J., et al., An Autonomous Multi-UAV System for Search and Rescue, in Proceedings of the First Workshop on Micro Aerial Vehicle Networks, Systems, and Applications for Civilian Use. 2015, Association for Computing Machinery: Florence, Italy. p. 33–38.
124. Bakari, M.J., K.M. Zied, and D.W. Seward, Development of a Multi-Arm Mobile Robot for Nuclear Decommissioning Tasks. International Journal of Advanced Robotic Systems, 2007. 4(4): p. 51.
125. Keys, A.S., et al., High‐Performance, Radiation‐Hardened Electronics for Space and Lunar Environments. AIP Conference Proceedings, 2008. 969(1): p. 749-756.
126. Zinkle, S.J. and G.S. Was, Materials challenges in nuclear energy. Acta Materialia, 2013. 61(3): p. 735-758.
127. Weber, W.J., et al., Radiation effects on materials in high-radiation environments: A workshop summary. Journal of Nuclear Materials, 1991. 184(1): p. 1-21.
128. Velazco, R., P. Fouillat, and R. Reis, Radiation Effects on Embedded Systems. 2007: Springer Netherlands.
129. Gallagher, K. The Sky’s the Limit with Drone-assisted Mapping. 2016 [cited 2023 20 October 2023]; Available from: https://www.simulyze.com/blog/drone-assisted-mapping-applications.
130. Restas, A., Drone Applications for Supporting Disaster Management. World Journal of Engineering and Technology, 2015. Vol.03No.03: p. 6.
131. Oliveira-da-Costa, M., et al., Effectiveness of unmanned aerial vehicles to detect Amazon dolphins. Oryx, 2020. 54(5): p. 696-698.
132. Colefax, A.P., et al., Reliability of marine faunal detections in drone-based monitoring. Ocean & Coastal Management, 2019. 174: p. 108-115.
133. van Gemert, J.C., et al. Nature Conservation Drones for Automatic Localization and Counting of Animals. 2015. Cham: Springer International Publishing.
134. van Andel, A.C., et al., Locating chimpanzee nests and identifying fruiting trees with an unmanned aerial vehicle. American Journal of Primatology, 2015. 77(10): p. 1122-1134.
135. Pirotta, V., et al., An economical custom-built drone for assessing whale health. Frontiers in Marine Science, 2017: p. 425.
136. Hartman, K., P. Van der Harst, and R. Vilela, Continuous focal group follows operated by a drone enable analysis of the relation between sociality and position in a group of male Risso’s dolphins (Grampus griseus). Frontiers in Marine Science, 2020. 7: p. 283.
137. Radoglou-Grammatikis, P., et al., A compilation of UAV applications for precision agriculture. Computer Networks, 2020. 172: p. 107148.
138. Escobar-Flores, J.G. and S. Sandoval, Unmanned aerial vehicle (UAV) for sea turtle skeleton detection in the Mexican Pacific. Remote Sensing Applications: Society and Environment, 2021. 22: p. 100501.
139. Zhao, N., et al., Antenna and Propagation Considerations for Amateur UAV Monitoring. IEEE Access, 2018. 6: p. 28001-28007.
140. Wang, Z., et al., Study on Extraction of Landslide Information Based on UAV Survey. IOP Conference Series: Earth and Environmental Science, 2021. 658(1): p. 012042.
141. MakİNecİ, H.B. and K. Erdal, Adaptation analysis of produced 3D models from UAV-SLAM and UAV-TLS data combinations. Mersin Photogrammetry Journal, 2023. 5(1): p. 18-23.
142. SİLwal, A., S. Tamang, and R. AdhİKarİ, Use of unmanned aerial vehicle (UAV) for mapping, and accuracy assessment of the orthophoto with and without using GCPs: A case study in Nepal. Mersin Photogrammetry Journal, 2022. 4(2): p. 45-52.
143. Nazar, M., et al., 3D positioning accuracy and land cover classification performance of multispectral RTK UAVs. International Journal of Engineering and Geosciences, 2023. 8(2): p. 119-128.
144. Kaplan, G., E. Senkal, and U. Avdan, Accuracy assessment of digital surface models from unmanned aerial vehicles’ imagery on archaeological sites. International Journal of Engineering and Geosciences, 2021. 6(2): p. 81-89.
145. Nex, F. and F. Remondino, UAV for 3D mapping applications: a review. Applied Geomatics, 2014. 6(1): p. 1-15.
146. SKYCRUISER A22. 2023 [cited 2023 15 October 2023]; Available from: https://southinstrument.com/product/details/pro_tid/1/id/156.html.
147. Supercam S100. 2023 [cited 2023 15 October 2023]; Available from: https://geo-matching.com/products/supercam-s100.
148. CIES 2.2 SOLAR POWERED. 2023 [cited 2023 20 October 2023]; Available from: https://geo-matching.com/products/cies-2-2-solar-powered.
149. Mirzaeinia, A. and M. Hassanalian, Minimum-Cost Drone–Nest Matching through the Kuhn–Munkres Algorithm in Smart Cities: Energy Management and Efficiency Enhancement. Aerospace, 2019. 6(11): p. 125.
150. Satlab SLA-1. 2023 [cited 2023 20 October 2023]; Available from: https://gpsnavstar.com/satlab-sla-1/.
151. Topcon releases new UAS for aerial mapping. 2023 2023]; 1 November 2023]. Available from: https://www.topconpositioning.com/insights/topcon-releases-new-uas-aerial-mapping.
152. Aeromapper Talon. 2023 [cited 2023 4 November 2023]; Available from: https://aeromao.com/products/aeromapper-talon/.
153. SKYSHOT HELIKITE AEROSTATS. 2023 [cited 2023 2 November 2023]; Available from: https://www.helikites.com/skyshot-tethered-aerostats.
154. Murison, M. Safer, Quieter and Less Ominous: Could Spacial’s Halo Rival Quads? 2017 [cited 2023 1 November 2023]; Available from: https://dronelife.com/2017/05/08/spacial-halo-drone/.
155. Italdron. 2023 [cited 2023 1 November 2023]; Available from: https://www.italdron.com/professionals-drones-and-accessories/professionals-drones/bigone-8hse-pro.
156. Asctec Falcon 8. 2023 [cited 2023 2 November 2023]; Available from: https://aerial-robotix.com/asctec-falcon-8/.
157. UAV IT180-120 / UNMANNED AERIAL VEHICLE. 2023 [cited 2023 1 November 2023]; Available from: https://www.ecagroup.com/en/solutions/uav-it180-120-unmanned-aerial-vehicle.
158. Applied Airborne - X-Mapper PPK (GNSS PPK). 2023 [cited 2023 4 November 2023]; Available from: https://geo-matching.com/products/x-mapper-ppk-gnss-ppk.
159. Metavista Breaks Guinness World Record of Multi Rotor UAV Flight Time Using Intelligent Energy Fuel Cell Power Module. 2019 [cited 2023 1 November 2023]; Available from: https://dronemajor.net/editorials/metavista-breaks-guinness-world-record-of-multi-rotor-uav-flight-time-using-intelligent-energy-fuel-cell-power-module.
160. Yang, X., et al., Survey on the novel hybrid aquatic–aerial amphibious aircraft: Aquatic unmanned aerial vehicle (AquaUAV). Progress in Aerospace Sciences, 2015. 74: p. 131-151.
161. Guo, Z., T. Li, and M. Wang. A Survey on Amphibious Robots. in 2018 37th Chinese Control Conference (CCC). 2018.
162. UVS. 2023 [cited 2023 1 November 2023]; Available from: http://www.uvssys.com/en/product.php?cid=23#tk.
163. DRS RQ-15 Neptune. 2023 [cited 2023 2 November 2023]; Available from: https://www.unols.org/sites/default/files/Neptune%20UAV.pdf.
164. Asadzadeh, S., W.J.d. Oliveira, and C.R.d. Souza Filho, UAV-based remote sensing for the petroleum industry and environmental monitoring: State-of-the-art and perspectives. Journal of Petroleum Science and Engineering, 2022. 208: p. 109633.
165. Jiménez López, J. and M. Mulero-Pázmány Drones for Conservation in Protected Areas: Present and Future. Drones, 2019. 3, DOI: 10.3390/drones3010010.
166. Margaritoff, M. Floating Waterproof Drone Makes a Kickstarter Splash. 2017 [cited 2024 4 April 2024]; Available from: https://www.thedrive.com/article/10924/floating-waterproof-drone-makes-a-kickstarter-splash.
167. Joshi, N. 4 Ways Underwater Drones Enhance Safety And Efficiency In The Energy And Utilities Sector. 2023 [cited 2024 4 April 2024]; Available from: https://www.allerin.com/blog/4-ways-underwater-drones-enhance-safety-and-efficiency-in-the-energy-and-utilities-sector.
168. Kickstarter. BIKI: First Bionic Wireless Underwater Fish Drone. 2018 [cited 2024 4 April 2024]; Available from: https://www.kickstarter.com/projects/1114649432/biki-first-bionic-wireless-underwater-fish-drone/faqs?lang=fr.
169. Stone, Z. These Six Luxury Underwater Drones Are Disrupting Fishing and Fun. 2017 [cited 2024 4 April 2024]; Available from: https://www.forbes.com/sites/zarastone/2017/06/15/these-six-luxury-underwater-drones-are-disrupting-fishing-and-fun/?sh=34b8d75d9789.
170. Tauro, F., M. Porfiri, and S. Grimaldi, Surface flow measurements from drones. Journal of Hydrology, 2016. 540: p. 240-245.
171. Meng, L., T. Hirayama, and S. Oyanagi, Underwater-Drone With Panoramic Camera for Automatic Fish Recognition Based on Deep Learning. IEEE Access, 2018. 6: p. 17880-17886.
172. Spears, A., et al. Design and development of an under-ice autonomous underwater vehicle for use in Polar regions. in 2014 Oceans - St. John's. 2014.
173. Weisler, W., et al., Testing and Characterization of a Fixed Wing Cross-Domain Unmanned Vehicle Operating in Aerial and Underwater Environments. IEEE Journal of Oceanic Engineering, 2018. 43(4): p. 969-982.
174. Esakki, B., et al., Design of Amphibious Vehicle for Unmanned Mission in Water Quality Monitoring Using Internet of Things. Sensors, 2018. 18(10): p. 3318.
175. Gao, A. and A.H. Techet. Design considerations for a robotic flying fish. in OCEANS'11 MTS/IEEE KONA. 2011.
176. Cherney, J.H., et al., Split Application of Nitrogen vs. Dairy Manure on Temperate Perennial Grasses. Forage & Grazinglands, 2010. 8(1): p. 1-13.
177. Lee, J. and S. Kwon, A Basic Study on the Selection of Required Operational Capability for Attack Drones of Army TIGER Units Using AHP Technique. J. KIMS Technol, 2023. 26(2): p. 197-204.
178. Rauch, M.S., Drones in Military Warfare: The moral and emotional implications of an emerging technology. Academy of Management Proceedings, 2021. 2021(1): p. 10599.
179. Ralston, S. DRNE: Drone Aviation Is Well-Positioned In The Tethered Aerostat Industry. 2014 [cited 2023 1 November 2023]; Available from: https://scr.zacks.com/news/news-details/2014/DRNE-Drone-Aviation-is-Well-Positioned-in-the-Tethered-Aerostat-Industry/default.aspx.
180. Imumbhon, J.O., M.D. Alam, and Y. Cao, Design and Structural Analyses of a Reciprocating S1223 High-Lift Wing for an RA-Driven VTOL UAV. Aerospace, 2021. 8(8): p. 214.
181. Excell, J. Insect inspiration: UK defence drone mimics dragonfly flight. 2016 [cited 2023 4 November 2023]; Available from: https://www.theengineer.co.uk/content/in-depth/insect-inspiration-uk-defence-drone-mimics-dragonfly-flight.
182. Hassanalian, M., et al., Performance analysis of fixed wing space drones in different solar system bodies. Acta Astronautica, 2018. 152: p. 27-48.
183. NASA Langley Plane Chosen as Mars Candidate. 2002 [cited 2023 20 October 2023]; Available from: https://mars.nasa.gov/news/446/nasa-langley-plane-chosen-as-mars-candidate/.
184. NASA's Ingenuity Mars Helicopter Succeeds in Historic First Flight. 2021 [cited 2023 26 October 2023]; Available from: https://mars.nasa.gov/news/8923/nasas-ingenuity-mars-helicopter-succeeds-in-historic-first-flight/.
185. Menges, P.A. Artificial Neural Membrane Flapping Wing NIAC Phase I Study Final Report. 2006.
186. Sjogren, W.L., et al., Mars gravity field based on a short-arc technique. Journal of Geophysical Research (1896-1977), 1975. 80(20): p. 2899-2908.
187. Mars Helicopter to Fly on NASA’s Next Red Planet Rover Mission. 2018 [cited 2023 25 October 2023]; Available from: https://www.nasa.gov/news-release/mars-helicopter-to-fly-on-nasas-next-red-planet-rover-mission/.
188. NASA’s Dragonfly Will Fly Around Titan Looking for Origins, Signs of Life. 2019 [cited 2023 30 October 2023]; Available from: https://www.nasa.gov/news-release/nasas-dragonfly-will-fly-around-titan-looking-for-origins-signs-of-life/.
189. NASA Selects Flying Mission to Study Titan for Origins, Signs of Life. 2019 [cited 2023 24 October 2023]; Available from: https://solarsystem.nasa.gov/news/986/nasa-selects-flying-mission-to-study-titan-for-origins-signs-of-life/.
190. Young, L.A., et al. Rotary-wing decelerators for probe descent through the atmosphere of venus. 2004.
191. NASA’s Mars Helicopter Testing Enters Final Phase. 2019 [cited 2023 30 October 2023]; Available from: https://www.nasa.gov/missions/mars-2020-perseverance/ingenuity-helicopter/nasas-mars-helicopter-testing-enters-final-phase/.
192. Landis, G.A., Robotic exploration of the surface and atmosphere of Venus. Acta Astronautica, 2006. 59(7): p. 570-579.
193. Landis, G.A., A. Colozza, and C.M. LaMarre, Atmospheric Flight on Venus: A Conceptual Design. Journal of Spacecraft and Rockets, 2003. 40(5): p. 672-677.
194. Xiongfeng, Z., G. Zheng, and H. Zhongxi, Sun-Seeking Eternal Flight Solar-Powered Airplane for Venus Exploration. Journal of Aerospace Engineering, 2015. 28(5): p. 04014127.
195. Pekar, N.J. Could This Become the First Mars Airplane? 2015 [cited 2023 29 October 2023]; Available from: https://www.nasa.gov/aeronautics/could-this-become-the-first-mars-airplane/.
196. Pellerito, V., M. Olivas, and M. Hassanalian, Design a Fixed-Wing Unmanned Aerial Vehicle with Dynamic Soaring Capability for Titan Exploration, in AIAA Scitech 2020 Forum.
197. Pergola, P. and V. Cipolla, Mission architecture for Mars exploration based on small satellites and planetary drones. International Journal of Intelligent Unmanned Systems, 2016. 4.
198. Collins, N.S., System design and nonlinear state-dependent Riccati equation control of an autonomous Y-4 tilt-rotor aerobot for Martian exploration, C.I. Underwood and S. University of, Editors. 2016.
199. Aguirre, J., et al. Mars Intelligent Reconnaissance Aerial and Ground Explorer (MIRAGE). 2007.
200. Hassanalian, M., D. Rice, and A. Abdelkefi, Evolution of space drones for planetary exploration: A review. Progress in Aerospace Sciences, 2018. 97: p. 61-105.
201. Scientific Balloons. 2023 [cited 2023 1 November 2023]; Available from: https://www.nasa.gov/scientificballoons/.
202. MARS BALLOONS. 2023 [cited 2023 2 November 2023]; Available from: https://www.gaerospace.com/space-exploration/planetary-aerobots/mars-balloons/.
203. Zegers, T.E., et al., ExoFly: a flapping wing aerobot for planetary survey and exploration. 2008.
204. Egan, P. MLABs Bat Wing UAV Ornithopter Unveiled for Mission to Mars. 2013 [cited 2023 3 November 2023]; Available from: https://www.suasnews.com/2013/07/mlabs-bat-wing-uav-ornithopter-unveiled-for-mission-to-mars/.
205. Griffin, M.D., Space vehicle design. 2004: AIAA.
206. Soler, M., Fundamentals of Aerospace Engineering: An introductory course to aeronautical engineering. 2014: Manuel Soler.
207. Pope, D.K. Two delivery drones built by Google will soon be tested in the US. 2015 [cited 2023 2 November 2023]; Available from: https://www.techspot.com/news/62412-two-delivery-drones-built-google-soon-tested-us.html.
208. Fingas, R. Amazon teases new details of planned Prime Air drone delivery service. 2015 [cited 2023 1 November 2023]; Available from: https://appleinsider.com/articles/15/11/30/amazon-teases-new-details-of-planned-prime-air-drone-delivery-service.
209. DRONES. 2023 [cited 2023 1 November 2023]; Available from: https://www.dhl.com/global-en/home/insights-and-innovation/thought-leadership/trend-reports/drones-logistics.html.
210. Howell, C.T.I., et al. The First Government Sanctioned Delivery of Medical Supplies by Remotely Controlled Unmanned Aerial System (UAS). 2016 [cited 2023 30 October 2023]; Available from: https://ntrs.nasa.gov/citations/20160009120.
211. UAV. 2023 [cited 2023 30 October 2023]; Available from: https://www.uav.org/zipline-begins-drone-delivery-of-covid-19-tests-in-ghana-is/.
212. Drones will be used to transport medical supplies across the Solent to support the response to COVID-19. 2020 [cited 2023 30 October 2023]; Available from: https://www.solent-transport.com/?s=drone.
213. LIN, J. and P.W. SINGER. Meet China’s growing fleet of automated delivery drones. 2018 [cited 2023 2 November 2023]; Available from: https://www.popsci.com/china-drone-deliveries/.
214. Brett, D. SF Express expects to have 1,000 VTOL cargo drones by 2031. 2021 [cited 2023 28 October 2023]; Available from: https://www.aircargonews.net/airlines/sf-express-expects-to-have-1000-vtol-cargo-drones-by-2031/.
215. Maksel, R. Delivery by Drone. 2015 [cited 2023 28 October 2023]; Available from: https://www.smithsonianmag.com/air-space-magazine/delivery-by-drone-180955988/.
216. Straight, B. Flirtey firing up production, taking preorders for delivery drone. 2021 [cited 2023 4 November 2023]; Available from: https://www.freightwaves.com/news/flirtey-firing-up-production-taking-preorders-for-delivery-drone.
217. Boukoberine, M.N., Z. Zhou, and M. Benbouzid, A critical review on unmanned aerial vehicles power supply and energy management: Solutions, strategies, and prospects. Applied Energy, 2019. 255: p. 113823.
218. Drone Delivery Applications. 2023 [cited 2023 28 October 2023]; Available from: https://dronedeliverycanada.com/applications/.
219. Industrial Drone with Maximum Payload 35kg, Maximum Altitude 2,800m, Cruising Range of 90km Yamaha Motor: FAZER R G2 Automated Navigation Unmanned Helicopter Showcased at the October "Japan International Aerospace Exhibition 2016". 2016 [cited 2023 29 October 2023]; Available from: https://global.yamaha-motor.com/news/2016/1011/fazer_r_g2.html.
220. Transforming the way goods are transported. 2023 [cited 2023 28 October 2023]; Available from: https://x.company/projects/wing/.
221. Wingcopter. 2023 [cited 2023 30 October 2023]; Available from: https://wingcopter.com/.
222. Drone Delivery Technology. 2023 [cited 2023 2 November 2023]; Available from: https://dronedeliverycanada.com/technology/.
223. Villi, O., & Yakar, M. (2022). İnsansız Hava Araçlarının Kullanım Alanları ve Sensör Tipleri. Türkiye İnsansız Hava Araçları Dergisi, 4(2), 73-100.
224. Donmez, C., Villi, O., Berberoglu, S., & Cilek, A. (2021). Computer vision-based citrus tree detection in a cultivated environment using UAV imagery. Computers and Electronics in Agriculture, 187, 106273.
225. Yakar, M., Ulvi, A., Fidan, Ş., Karabacak, A., Villi, O., Yiğit, A. Y., ... & Hamal, S. N. G. (2023). İnsansız Hava Aracı Teknolojisi ve Operatörlüğü Eğitim Kitabı. Mersin Üniversitesi Harita Mühendisliği Kitapları.
226. Yakar, M., & Villi, O. (2023). İnsansız hava aracı uygulama alanları. Mersin Üniversitesi Harita Mühendisliği Kitapları.
227. Villi, O., & Yakar, M. (2024). İnsansız Hava Araçlarının Segmentasyon Çalışmalarında Kullanımı. Türkiye İnsansız Hava Araçları Dergisi, 6(1), 30-41.
228. Villi, O., & Yakar, M. (2023). İnsansız Hava Araçları ve Coğrafi Bilgi Sistemleri Uygulamaları. Türkiye Coğrafi Bilgi Sistemleri Dergisi, 5(1), 20-33.
229. Villi, O., Villi, Ö., & Yakar, M. (2023). 3 Boyutlu Yazıcıların İnsansız Hava Aracı Uygulamalarında Kullanımı. Türkiye İnsansız Hava Araçları Dergisi, 5(2), 81-97.

Toplam 228 adet kaynakça vardır.

Ayrıntılar

Birincil Dil	İngilizce
Konular	Jeomatik Mühendisliği (Diğer)
Bölüm	Review Article
Yazarlar	Alireza Gholami 0009-0009-8130-3815
Erken Görünüm Tarihi	17 Kasım 2024
Yayımlanma Tarihi	31 Ekim 2024
Gönderilme Tarihi	30 Ocak 2024
Kabul Tarihi	14 Mayıs 2024
Yayımlandığı Sayı	Yıl 2024 Cilt: 9 Sayı: 3

Kaynak Göster

APA	Gholami, A. (2024). Exploring drone classifications and applications: a review. International Journal of Engineering and Geosciences, 9(3), 418-442. https://doi.org/10.26833/ijeg.1428724
AMA	Gholami A. Exploring drone classifications and applications: a review. IJEG. Ekim 2024;9(3):418-442. doi:10.26833/ijeg.1428724
Chicago	Gholami, Alireza. “Exploring Drone Classifications and Applications: A Review”. International Journal of Engineering and Geosciences 9, sy. 3 (Ekim 2024): 418-42. https://doi.org/10.26833/ijeg.1428724.
EndNote	Gholami A (01 Ekim 2024) Exploring drone classifications and applications: a review. International Journal of Engineering and Geosciences 9 3 418–442.
IEEE	A. Gholami, “Exploring drone classifications and applications: a review”, IJEG, c. 9, sy. 3, ss. 418–442, 2024, doi: 10.26833/ijeg.1428724.
ISNAD	Gholami, Alireza. “Exploring Drone Classifications and Applications: A Review”. International Journal of Engineering and Geosciences 9/3 (Ekim 2024), 418-442. https://doi.org/10.26833/ijeg.1428724.
JAMA	Gholami A. Exploring drone classifications and applications: a review. IJEG. 2024;9:418–442.
MLA	Gholami, Alireza. “Exploring Drone Classifications and Applications: A Review”. International Journal of Engineering and Geosciences, c. 9, sy. 3, 2024, ss. 418-42, doi:10.26833/ijeg.1428724.
Vancouver	Gholami A. Exploring drone classifications and applications: a review. IJEG. 2024;9(3):418-42.

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