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REVIEW 4 major objections 4 minor 209 references

A Comprehensive Insights into Drones: History, Classification, Architecture, Navigation, Applications, Challenges, and Future Trends

T0 review · 4 major / 4 minor · reviewed 2026-08-10 · deepseek-v4-flash

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Pith's one-line read A new survey proposes a single taxonomy and layered architecture to organize all of drone technology, from history to security.

desk verdict A broad drone survey with useful case studies, but its central PRISMA systematic-review claim is contradicted by the paper's own reference list. read the letter →

arxiv 2501.10066 v1 pith:PUZORBB7 submitted 2025-01-17 cs.RO cs.ITmath.IT

Ruchita Singh , Sandeep Kumar This is my paper · ORCID
classification cs.ROcs.ITmath.IT
keywords UAVdroneclassificationarchitecturenavigationsystemsapplicationschallengesautonomoussystematicreview
verification ladder T0 review T1 audit T2 compute T3 formal

The pith

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The reading

This paper argues that the scattered drone literature can be pulled into a single integrated picture, and it attempts to do exactly that: one review covering history, classification, architecture, navigation, applications, challenges, and future trends. Its central contribution is a proposed multi-dimensional taxonomy that sorts drones by size, aerodynamics, altitude, payload, power, range, autonomy, and other criteria, together with an eight-layer architectural model that separates physical hardware from control, communication, perception, data processing, applications, and security. The paper claims that no existing survey spans all these dimensions at once, and it gathers ten real-world case studies to show how drones are actually deployed in disasters, delivery, agriculture, and infrastructure. If the synthesis holds, the value is practical: a newcomer or policymaker could use one document to see what drones are, which design choices fit which missions, and where the remaining obstacles are.

What carries the argument

The machinery that carries the argument is the pair of organizing artifacts: the multi-dimensional drone classification schema (Figure 4, summarized in Table 13) and the eight-layer drone architecture (Figure 7, summarized in Table 14). The classification schema carries the taxonomy claim by defining each criterion with example drones and specifications; the layered architecture carries the modularity claim by assigning every hardware and software function to a named layer. A systematic-review funnel selects the 244 secondary studies that the synthesis rests on, and the gap-analysis table compares those surveys against the review's seven sections to support the novelty claim.

What would settle it

Re-run the selection protocol with explicit databases and queries and compare the resulting set with the claimed 244: if the searchable record of drone surveys is materially larger, or if the excluded reviews in the gap-analysis table actually do cover history and architecture jointly, the comprehensiveness and novelty claims fail. A cheaper check is to find one major drone survey published before this one that already integrates classification, architecture, navigation, and applications; the taxonomy's novelty would then be a rearrangement rather than a gap-filling contribution.

Watch

Extended reading notes

Core claim

On its own terms, the paper's discovery is that the drone domain can be organized into a unified taxonomy and a layered architecture. The taxonomy groups drones under six families of criteria—design parameters, performance, operational characteristics, technical attributes, application-oriented categories, and autonomy level—so that any drone can be placed by combining entries from each axis. The architecture stacks eight layers, from the physical frame and motors up through control, communication, navigation and localization, perception, data processing, application, and security, so that sensor upgrades or security patches can be made in one layer without tearing down the rest. The paper also claims, on the strength of a systematic-review selection of 244 secondary studies, that this combined treatment is missing from prior surveys, making the review itself a reference resource rather than a novel empirical result.

Load-bearing premise

The load-bearing premise is that the 244 survey articles selected by the review's inclusion filter are a representative and complete enough sample for a comprehensive synthesis, even though the search queries, databases, and article list behind that number are not disclosed.

Editorial extensions

If this is right

  • If the taxonomy is adopted, engineers can read off candidate drone classes from mission requirements and compare trade-offs across size, payload, range, and autonomy in a single table.
  • If the architecture layers are accepted, component makers can target a single layer, such as a new perception stack, with the promise that it will slot into existing drones without a full redesign.
  • If the gap analysis is correct, readers who need a birds-eye view of drones get a starting point that previously required consulting dozens of unconnected surveys.
  • If the challenge catalog is right, funding and research effort can be aimed at the specific bottlenecks named: battery endurance, GPS-denied navigation, regulatory harmonization, and cybersecurity.

Reading between the lines

Editorial extensions of the paper, not claims the author makes directly.

  • A natural next step the paper leaves implicit is to encode the taxonomy as a machine-readable ontology so that drone registries, insurance categories, and airspace management systems could share one classification language.
  • The ten case studies could be mined as a small meta-evaluation: measuring claimed improvements in response time, cost, and safety would turn illustrative examples into evidence for where drones actually pay off.
  • If the taxonomy is meant to be exhaustive, a testable extension is to classify every drone in the chosen 244-review corpus into the schema; a nonzero residue would show that the axes need another dimension.
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Formalized claims in Lean

  1. Claim #1: On its own terms, the paper's discovery is that the drone domain can be organized into a unified taxonomy and a layered architecture. The taxonomy groups drones under six families of criteria—design parameters, performance, operational characteristics, technical attributes, application-oriented categories, and autonomy level—so that any drone can be placed by combining entries from each axis. The

Signed reviews

No signed human review yet.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, and a circularity audit.

Referee Report

4 major / 4 minor

Summary. This paper is a survey of drone technology that aims to cover history, classification, architecture, navigation and control, applications, challenges, and future trends. The authors claim to follow the PRISMA guidelines for a systematic literature review and state that 244 systematic literature review articles were included after applying exclusion criteria. The paper introduces a multi-dimensional drone classification framework, a layered drone architecture, and several case studies of drone deployments in disaster response, delivery, inspection, and agriculture.

Significance. If the systematic-review claim were supportable, the paper could be a useful integrative reference for researchers entering the field, and its classification and architecture summaries provide a broad descriptive overview. The tables in Sections 3, 4, and 6 and the case studies in Section 9 are potentially helpful curated material. However, the central value proposition depends on the comprehensiveness of the PRISMA-based selection, and that claim is not supported: the search is unreproducible and the reference list conflicts with the stated inclusion and exclusion criteria. The paper is also internally inconsistent in its classification framework, with gaps that undermine its claimed novelty.

major comments (4)
  1. [Section 1.2 and Figure 1] The PRISMA workflow is not reproducible: no search queries, databases, date ranges, or list of the 244 included articles are provided. The bibliography itself contradicts the stated exclusion criteria: [68], [72], [78] are Wikipedia entries, [131] is a ChatGPT URL, and [60], [61], [230] are web pages or vendor articles, none of which are secondary studies with a defined search process. This makes the claim in the 'NOVELTY OF SURVEY PAPER' section of 'systematically analyzing over 240 papers' unverifiable and collapses the comprehensiveness claim.
  2. [Section 1.1 and Table 1] The motivation states that 'more than 50 survey papers' were compared and Table 1 lists 56 references, while Section 1.2 reports 244 included SLR articles. This inconsistency suggests that the PRISMA count is not the set of papers actually analyzed, and it undermines the systematic-review framing of the paper.
  3. [Section 3.2.3, Table 10, and Table 13] The weight-based classification is not exhaustive: the categories jump from Medium (50–200 kg) to Heavy (>2000 kg), leaving the 200–2000 kg interval undefined. Similarly, Section 3.2.4, Table 11, and Table 13 jump from Long (200–500 km) to Ultra Long (>2000 km), skipping the 500–2000 km interval. These gaps contradict the paper's claim of a unified, multi-dimensional classification framework and are not merely cosmetic omissions.
  4. [Section 4.1.8 and reference [131]] The Security Layer section cites [131], which is a ChatGPT URL, as a source for the presented technical content. In a scholarly survey this is not an acceptable reference, and the same applies to the several Wikipedia and vendor-webpage citations used for specific technical specifications. These citations do not support the reliability of the survey's claims and reinforce the concern that the systematic selection process was not actually applied.
minor comments (4)
  1. [Throughout] There are numerous typos and grammatical errors, e.g., 'Miliary' in Table 3, 'Arduino functionality' in Section 1, and 'Section s even' in Section 1.3.
  2. [Table 1] Table 1 is difficult to read because blank cells are used to indicate absence of coverage; a concise matrix with explicit check marks or symbols would be much clearer.
  3. [References] Several references are incomplete or erroneous: [2] includes '[insert page numbers]', [110] is empty, and [220] and [221] are identical. The reference list needs a full editorial pass.
  4. [Figure 9 caption] The caption 'Components of Layers of Drone Architecture [117…131]' cites a non-existent reference range; the caption should be reworded and the underlying sources listed individually.

Circularity Check

0 steps flagged · score 0.0 of 10

No circularity: the paper is a descriptive survey whose 'novel' classification and architecture are integrative organizations of cited literature, not derived predictions.

full rationale

This manuscript is a survey/review, not a derivation; it contains no equations, fitted parameters, or predictions that could reduce to inputs. The main claims are (i) comprehensiveness via a PRISMA-based selection of 244 SLR articles and (ii) a novel multi-dimensional classification framework and layered architecture. The classification tables (e.g., Tables 4-13) assemble categories, examples, and specifications from cited prior work (e.g., [88]-[118]); the architecture (Fig. 7, Table 14) is an organizational scheme. Claiming 'novelty' for integrating these criteria is a presentation claim, not a derived result. The one likely self-citation ([127], a prior 5G-drone-communication paper by the first author) supports only generic communication-layer details in Section 4.1.3 and is not load-bearing for the paper's central claims. The PRISMA section reports 244 included papers without listing search strings, databases, dates, or the included set, and some references (e.g., ChatGPT, Wikipedia) appear inconsistent with the stated exclusion criteria; this is a reproducibility/reporting concern about the comprehensiveness claim, not a circularity mechanism. No step in the paper's reasoning is equivalent to its input by construction.

Assumptions & free parameters 0 free parameters · 3 assumptions · 0 invented entities

This survey has no free parameters and no invented entities. The claims rest on an undocumented literature selection and on an asserted taxonomy, which are recorded as axioms.

assumptions (3)
  • domain assumption The 244 systematic literature review articles selected by the PRISMA process are representative of the drone survey literature.
    Section 1.2 claims 244 SLR articles were included, but no search queries, databases, or inclusion log are reported; the comprehensiveness claim depends on this assumption.
  • ad hoc to paper The classification categories in Section 3 are exhaustive and mutually exclusive.
    Categories such as size, weight, and range are drawn from prior surveys without a formal argument that they partition the design space; gaps in tables, such as no weight class between 200 and 2000 kg, show that the partition is incomplete.
  • domain assumption The case studies in Section 9 accurately reflect real drone deployments.
    The paper relies on third-party reports and company web pages for statistics such as Zipline saving lives and Orsted inspection times; no independent verification is attempted.

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Cite this review

Pith. "Pith review of A Comprehensive Insights into Drones: History, Classification, Architecture, Navigation, Applications, Challenges, and Future Trends." pith.science (2026). https://pith.science/paper/PUZORBB7

@misc{pith2026250110066,
  author       = {Pith},
  title        = {Pith review of: A Comprehensive Insights into Drones: History, Classification, Architecture, Navigation, Applications, Challenges, and Future Trends},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/PUZORBB7}},
  note         = {Machine review of arXiv:2501.10066}
}
read the original abstract

Unmanned Aerial Vehicles (UAVs), commonly known as Drones, are one of 21st century most transformative technologies. Emerging first for military use, advancements in materials, electronics, and software have catapulted drones into multipurpose tools for a wide range of industries. In this paper, we have covered the history, taxonomy, architecture, navigation systems and branched activities for the same. It explores important future trends like autonomous navigation, AI integration, and obstacle avoidance systems, emphasizing how they contribute to improving the efficiency and versatility of drones. It also looks at the major challenges like technical, environmental, economic, regulatory and ethical, that limit the actual take-up of drones, as well as trends that are likely to mitigate these obstacles in the future. This work offers a structured synthesis of existing studies and perspectives that enable insights about how drones will transform agriculture, logistics, healthcare, disaster management, and other areas, while also identifying new opportunities for innovation and development.

Figures

Figures reproduced from arXiv: 2501.10066 by the authors.

Figure 5
Figure 5. gives types of flying mechanism-based classification. Fixed-wing drones are typically used for long-range reconnaissance and mapping, as their aerodynamic design allows for efficient, extended flight over large areas. Multi￾copters provide exceptional stability and versatility, making them ideal for tasks such as inspections and videography, where precise control and the ability to hover are essential. Tilt-wing and… view at source ↗
Figure 27
Figure 27. Precision Agriculture in Japan by Drone [244]. [PITH_FULL_IMAGE:figures/full_fig_p036_27.png] view at source ↗

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Works this paper leans on

209 extracted references · 65 canonical work pages

  1. [72]

    https://en.wikipedia.org/wiki/Ryan_Firebee [73]https://www.nytimes.com/1981/05/23/world/israeli-drones-keep-an- electronic-eye-on-the-arabs.html [74]https://www.britannica.com/technology/military-aircraft/Unmanned- aerial-vehicles-UAVs

    1981

  2. [78]

    https://en.wikipedia.org/wiki/Parrot_AR.Drone

  3. [131]

    doi: 10.1016/j.paerosci.2017.04.003.CrossRefGoogle Scholar

    work page doi:10.1016/j.paerosci.2017.04.003.crossrefgoogle 2017

  4. [61]

    https://www.iwm.org.uk/history/a-brief-history-of-drones [62]https://www.talonlpe.com/blog/a-brief-history-of-unmanned-aerial- vehicles-aka-drones

  5. [230]

    https://www.aboutamazon.com/news/transportation/amazon-prime-air- prepares-for-drone-deliveries

  6. [1]

    and TYJ, N.M

    Sivakumar, M. and TYJ, N.M. (2021) ‘A literature survey of unmanned aerial vehicle usage for civil applications’, Journal of Aerospace Technology and Management, 13. doi:10.1590/jatm.v13.1233

    work page doi:10.1590/jatm.v13.1233 2021

  7. [2]

    Dept. of Computer Science, Kalinga University, Raipur, C.G., India,

    V. Shrivastava, "Dept. of Computer Science, Kalinga University, Raipur, C.G., India," International Journal of Mechanical Engineering, vol. 7, Special Issue 5, pp. [insert page numbers], Apr.–May 2022, ISSN: 0974-5823

    2022

  8. [3]

    A short review of the drone technology,

    R. Hossain, "A short review of the drone technology," Kushtia Government College, Kushtia, Dhaka Bangladesh, [Online]. Available: https://www.researchgate.net/publication/362908663_A_Short_Review_of_th e_Drone_Technology

    arXiv

Show all 209 references
  1. [5]

    An extensive survey on the Internet of Drones,

    P. Boccadoro, D. Striccoli, and L. A. Grieco, "An extensive survey on the Internet of Drones," Ad Hoc Networks, vol. 122, p. 102600, 2021, doi: 10.1016/j.adhoc.2021.102600

    2021

  2. [6]

    A Comprehensive Survey on UAV Communication Channel Modeling,

    C. Yan, L. Fu, J. Zhang and J. Wang, "A Comprehensive Survey on UAV Communication Channel Modeling," in IEEE Access, vol. 7, pp. 107769- 107792, 2019, doi: 10.1109/ACCESS.2019.2933173

    2019

  3. [7]

    Classifications, applications, and design challenges of drones: A review,

    M. Hassanalian and A. Abdelkefi, "Classifications, applications, and design challenges of drones: A review," Prog. Aerosp. Sci., vol. 91, pp. 99- 131, 2017, doi: 10.1016/j.paerosci.2017.04.003

    2017 doi

  4. [8]

    Autonomous Drone Racing: A Survey,

    D. Hanover et al., "Autonomous Drone Racing: A Survey," in IEEE Transactions on Robotics, vol. 40, pp. 3044-3067, 2024, doi: 10.1109/TRO.2024.3400838. [9] Hossain, Rasel. (2022). A Short Review of the Drone Technology. 7. 16

    2022

  5. [10]

    Drone types and its applications - A survey,

    J. Jaykumar and S. D. Gowda, "Drone types and its applications - A survey," Int. Res. J. Eng. Technol., vol. 7, no. 6, pp. 7360, Jun. 2020

    2020

  6. [12]

    New developments in drone-based automated surface survey: Towards a functional and effective survey system,

    H. A. Orengo, A. Garcia -Molsosa, I. Berganzo -Besga, J. Landauer, P. Aliende, and S. Tres-Martínez, "New developments in drone-based automated surface survey: Towards a functional and effective survey system," J. Appl. Remote Sens., vol. 15, no. 1, 2021, Art. no. 1822, doi: 1...

    2021 doi

  7. [13]

    Managing the drone revolution: A systematic literature review into the current use of airborne drones and future strategic directions for their effective control,

    R. Merkert and J. Bushell, "Managing the drone revolution: A systematic literature review into the current use of airborne drones and future strategic directions for their effective control," Journal of Air Transport Management , vol. 89, p. 101929, 2020, doi: 10.1016/j.jairtr...

    2020

  8. [15]

    The history and the evolution of UAVs from the beginning till the 70s,

    V. Prisacariu, "The history and the evolution of UAVs from the beginning till the 70s," Air Force Academy, Brasov, Romania, 2017

    2017

  9. [16]

    https://www.iwm.org.uk/history/a-brief-history-of-drones

  10. [17]

    Research and Development of Drone and Roadmap to Evolution,

    "Research and Development of Drone and Roadmap to Evolution," J. Robotics Mechatronics , vol. 30, no. 3, pp. 322 -336, June 2018, doi: 10.20965/jrm.2018.p0322. [18] ‘A secret history’ (2013) A Secret History [Preprint]. doi:10.5040/9781350919327

    2013 doi

  11. [19]

    A survey of guidance, navigation, and control systems for autonomous multi -rotor small unmanned aerial systems,

    J. A. Marshall, W. Sun, and A. L’Afflitto, "A survey of guidance, navigation, and control systems for autonomous multi -rotor small unmanned aerial systems," Annu. Rev. Control , vol. 52, pp. 390 -427, 2021, doi: 10.1016/j.arcontrol.2021.10.013

    2021 doi

  12. [20]

    UAV control in autonomous object-goal navigation: a systematic literature review,

    A. Ayala, L. Portela, F. Buarque, et al., "UAV control in autonomous object-goal navigation: a systematic literature review," Artif. Intell. Rev., vol. 57, p. 125, Apr. 7, 2024, doi: 10.1007/s10462 -024-10758-7. [21] M. Mugnai, M. T. Losé, E. P. Herrera -Alarcón, G. Baris, M. ...

    2024 doi

  13. [22]

    and Jin, J

    Ebeid, E., Skriver, M. and Jin, J. (2017) ‘A survey on open -source flight control platforms of Unmanned Aerial Vehicle’, 2017 Euromicro Conference on Digital System Design (DSD), pp. 396–402. doi:10.1109/dsd.2017.30

    2017 doi

  14. [23]

    and Theophilus, E.K

    Kangunde, V., Jamisola, R.S. and Theophilus, E.K. (2021) ‘A review on drones controlled in real -time’, International Journal of Dynamics and Control, 9(4), pp. 1832–1846. doi:10.1007/s40435-020-00737-5

    2021 doi

  15. [25]

    Akbari, Y. et al. (2021) ‘Applications, databases and Open Computer Vision Research from drone videos and images: A survey’, Artificial Intelligence Review, 54(5), pp. 3887–3938. doi:10.1007/s10462-020-09943-1

    2021 doi

  16. [26]

    Nwaogu, J.M. et al. (2023) ‘Application of drones in the architecture, engineering, and Construction (AEC) industry’, Automation in Construction, 150, p. 104827. doi:10.1016/j.autcon.2023.104827

    2023

  17. [27]

    Rahman, M.H. et al. (2024) ‘A comprehensive survey of unmanned aerial vehicles detection and classification using Machine Learning Approach: Challenges, Solutions, and Future Directions’, Remote Sensing, 16(5), p. 879. doi:10.3390/rs16050879

    2024 doi

  18. [28]

    Advance and Refinement: The Evolution of UAV Detection and Classification Technologies,

    V. Semenyuk, I. Kurmashev, A. Lupi, D. Alyoshin, L. Kurmasheva, A. Cantelli-Fortib, and M. Kozybaev, "Advance and Refinement: The Evolution of UAV Detection and Classification Technologies," Elsevier

  19. [29]

    Seidaliyeva, U. et al. (2023) ‘Advances and challenges in drone detection and classification techniques: A state-of-the-art review’, Sensors, 24(1), p

    2023

  20. [30]

    Jiang, M.Y.-C. et al. (2024) ‘They believe students can fly: A scoping review on the utilization of drones in educational settings’, Computers & Education, 220, p. 105113. doi:10.1016/j.compedu.2024.105113

    2024

  21. [31]

    Trappey, A.J.C. et al. (2023) ‘A comprehensive analysis of global patent landscape for recent R&D in Agricultural Drone Technologies’, World Patent Information, 74, p. 102216. doi:10.1016/j.wpi.2023.102216

    2023

  22. [32]

    (2019) ‘Public acceptance of drones: Knowledge, attitudes, and Practice’, Technology in Society, 59, p

    Aydin, B. (2019) ‘Public acceptance of drones: Knowledge, attitudes, and Practice’, Technology in Society, 59, p. 101180. doi:10.1016/j.techsoc.2019.101180

    2019

  23. [33]

    Budiharto, W. et al. (2019) ‘A review and progress of research on autonomous drone in agriculture, delivering items and geographical information systems (GIS)’, 2019 2nd World Symposium on Communication Engineering (WSCE), pp. 205–209. doi:10.1109/wsce49000.2019.9041004

    2019

  24. [34]

    and Choi, Y

    Lee, S. and Choi, Y. (2016) ‘Reviews of Unmanned Aerial Vehicle (drone) technology trends and its applications in the mining industry’, Geosystem Engineering, 19(4), pp. 197 –204. doi:10.1080/12269328.2016.1162115

    2016

  25. [35]

    Lu, Y. et al. (2018) ‘A survey on vision -based UAV navigation’, Geo - spatial Information Science, 21(1), pp. 21 –32. doi:10.1080/10095020.2017.1420509

    2018

  26. [37]

    Gyagenda, N. et al. (2022) ‘A review of GNSS -independent UAV navigation techniques’, Robotics and Autonomous Systems, 152, p. 104069. doi:10.1016/j.robot.2022.104069

    2022

  27. [39]

    and Gebre -Egziabher, D

    Elkaim, G.H., Lie, F.A. and Gebre -Egziabher, D. (2014) ‘Principles of guidance, navigation, and control of uavs’, Handbook of Unmanned Aerial Vehicles, pp. 347–380. doi:10.1007/978-90-481-9707-1_56

    2014 doi

  28. [41]

    A survey on unmanned aerial vehicle collision avoidance systems,

    H. Pham, S. A. Smolka, S. D. Stoller, D. Phan, and J. Yang, "A survey on unmanned aerial vehicle collision avoidance systems," arXiv preprint arXiv:1501.06351, 2015

    2015 arXiv

  29. [42]

    A survey on open -source flight control platforms of unmanned aerial vehicle,

    E. Ebeid, M. Skriver, and J. Jin, "A survey on open -source flight control platforms of unmanned aerial vehicle," in 2017 Euromicro Conference on Digital System Design (DSD), IEEE, 2017, pp. 396–402

    2017

  30. [43]

    Understanding UAV cellular communications: from existing networks to massive MIMO,

    G. Geraci, A. Garcia-Rodriguez, L. G. Giordano, D. López-Pérez, and E. Björnson, "Understanding UAV cellular communications: from existing networks to massive MIMO," IEEE Access, vol. 6, pp. 67853–67865, 2018

    2018

  31. [44]

    Survey on UAV cellular communications: practical aspects, standardization advancements, regulation, and security challenges,

    A. Fotouhi, H. Qiang, M. Ding, M. Hassan, L. G. Giordano, A. Garcia - Rodriguez, and J. Yuan, "Survey on UAV cellular communications: practical aspects, standardization advancements, regulation, and security challenges," IEEE Commun. Surv. Tutor., vol. 21, no. 4, pp. 3417–3442, 2019

    2019

  32. [45]

    A tutorial on UAVs for wireless networks: applications, challenges, and open problems,

    M. Mozaffari, W. Saad, M. Bennis, Y. H. Nam, and M. Debbah, "A tutorial on UAVs for wireless networks: applications, challenges, and open problems," IEEE Commun. Surv. Tutor., vol. 21, no. 3, pp. 2334–2360, 2019

    2019

  33. [46]

    UAV communications for 5G and beyond: recent advances and future trends,

    B. Li, Z. Fei, and Y. Zhang, "UAV communications for 5G and beyond: recent advances and future trends," IEEE Internet Things J., vol. 6, no. 2, pp. 2241–2263, 2018

    2018

  34. [47]

    A survey on 5G millimeter wave communications for UAV -assisted wireless networks,

    L. Zhang, H. Zhao, S. Hou, Z. Zhao, H. Xu, X. Wu, et al., "A survey on 5G millimeter wave communications for UAV -assisted wireless networks," IEEE Access, vol. 7, pp. 117460–117504, 2019

    2019

  35. [48]

    Cognition in UAV -aided 5G and beyond communications: a survey,

    Z. Ullah, F. Al-Turjman, and L. Mostarda, "Cognition in UAV -aided 5G and beyond communications: a survey," IEEE Transactions on Cognitive Communications and Networking, vol. 6, no. 3, pp. 872–891, 2020

    2020

  36. [49]

    Softwarization of UAV networks: a survey of applications and future trends,

    O. S. Oubbati, M. Atiquzzaman, T. A. Ahanger, and A. Ibrahim, "Softwarization of UAV networks: a survey of applications and future trends," IEEE Access, vol. 8, pp. 98073–98125, 2020

    2020

  37. [50]

    Security and privacy issues of UAV: a survey,

    Y. Zhi, Z. Fu, X. Sun, and J. Yu, "Security and privacy issues of UAV: a survey," Mobile Networks and Applications, vol. 25, no. 1, pp. 95–101, 2020

    2020

  38. [51]

    Multiple UAV systems: a survey,

    G. Skorobogatov, C. Barrado, and E. Salamí, "Multiple UAV systems: a survey," Unmanned Systems, vol. 8, no. 2, pp. 149–169, 2020

    2020

  39. [52]

    Green UAV communications for 6G: a survey,

    X. Jiang, M. Sheng, N. Zhao, C. Xing, W. Lu, and X. Wang, "Green UAV communications for 6G: a survey," Chinese Journal of Aeronautics, 2021

    2021

  40. [53]

    A survey of prototype and experiment for UAV communications,

    Q. Song, Y. Zeng, J. Xu, and S. Jin, "A survey of prototype and experiment for UAV communications," Science China Information Sciences, vol. 64, no. 4, pp. 1–21, 2021

    2021

  41. [54]

    A survey of deep learning techniques for vehicle detection from UAV images,

    S. Srivastava, S. Narayan, and S. Mittal, "A survey of deep learning techniques for vehicle detection from UAV images," Journal of Systems Architecture, vol. 117, p. 102152, 2021

    2021

  42. [55]

    Internet of drones: routing algorithms,

    S. K. Haider, A. Nauman, M. A. Jamshed, A. Jiang, S. Batool, and S. W. Kim, "Internet of drones: routing algorithms," Tech Challenges Math, vol. 10, no. 9, pp. 1488, 2022 39

    2022

  43. [56]

    Task assignment algorithms for unmanned aerial vehicle networks: A comprehensive survey,

    S. Poudel and S. Moh, "Task assignment algorithms for unmanned aerial vehicle networks: A comprehensive survey," Vehicular Communications, vol. 100469, 2022

    2022

  44. [57]

    M. J. Page et al., ‘‘The PRISMA 2020 statement: An updated guideline for reporting systematic reviews,’’ Syst. Rev., vol. 10, no. 1, pp. 1 –11, Dec. 2021

    2020

  45. [58]

    Kitchenham, R

    B. Kitchenham, R. Pretorius, D. Budgen, O. P. Brereton, M. Turner, M. Niazi, and S. Linkman, ‘‘Systematic literature reviews in software engineering—A tertiary study,’’ Inf. Softw. Technol., vol. 52, no. 8, pp. 792 – 805, Aug. 2010

    2010

  46. [59]

    Keane, John & Carr, Stephen. (2013). A Brief History of Early Unmanned Aircraft. Johns Hopkins Apl Technical Digest. 32. 558-571. [60]https://interestingengineering.com/innovation/a-brief-history-of- dronesthe-remote-controlled-unmanned-aerial-vehicles-uavs

    2013

  47. [63]

    https://airandspace.si.edu/air-and-space-quarterly/issue-12/secret-history- of-drones

  48. [64]

    Palik: (Szerk.) Pilóta nélküli repülés profiknak és amatőröknek Szerkesztette: Budapest, NemzetiKözszolgálati Egyetem, 2013

    Mátyás, Dr. Palik: (Szerk.) Pilóta nélküli repülés profiknak és amatőröknek Szerkesztette: Budapest, NemzetiKözszolgálati Egyetem, 2013

    2013

  49. [65]

    DOI: https://doi.org/10.21236/ada391692

    Clark, Richard M.: Uninhabited Combat Aerial Vehicles, Air University Press: Maxwell Air Force Base,Alabama, 2000. DOI: https://doi.org/10.21236/ada391692

    2000 doi

  50. [66]

    János, Jakus: A NATO légierő csapásai Jugoszláviára 1999 Available at http://por- tal.zmne.hu/download/bjkmk/bsz/bszemle2005/hadmuv0201_2005.html On 2 Feb 2016

    1999

  51. [67]

    Brief History of UAV Development,

    M. D. Palik and M. Nagy, "Brief History of UAV Development," Repüléstudományi Közlemények, vol. 31, no. 1, pp. 155 –166, May 2019, doi: 10.32560/rk.2019.1.13. [68].https://en.wikipedia.org/wiki/History_of_unmanned_aerial_vehicles

    2019 doi

  52. [69]

    The History of Drones,

    R. DeFrangesco and S. DeFrangesco, "The History of Drones," in The Big Book of Drones, pp. 15–28, 2022, doi: 10.1201/9781003201533-2. [70]https://www.nationalmuseum.af.mil/Visit/Museum-Exhibits/Fact- Sheets/Display/Article/198095/kettering-aerial-torpedo-bug/ [71]https://mapsa...

    2022 doi

  53. [75]

    The Japanese Impact on Global Drone Policy and Law: Why a Laggard United States and Other Nations Should Look to Japan in the Context of Drone Usage,

    K. D. Sheets, "The Japanese Impact on Global Drone Policy and Law: Why a Laggard United States and Other Nations Should Look to Japan in the Context of Drone Usage," Indiana Journal of Global Legal Studies , vol. 25, no. 1, pp. 341 –368, Feb. 2018. Available: https://www.repos...

    2018

  54. [76]

    https://en.wikipedia.org/wiki/Northrop_Grumman_RQ-4_Global_Hawk [77]https://airandspace.si.edu/collection-objects/general-atomics-mq-1l- predator/nasm_A20040180000

  55. [79]

    https://aboutphotography.blog/blog/history-of-dji

  56. [81]

    https://en.wikipedia.org/wiki/Amazon_Prime_Air [82]https://www.chinadaily.com.cn/bizchina/201609/30/content_26944766.ht m

  57. [83]

    http://www.navaldrones.com/MQ-25-Stingray.html

  58. [84]

    https://spectrum.ieee.org/skydio-2-review-this-is-the-drone-you-want-to- fly [85]https://www.hindustantimes.com/india-news/in-midnight-operation- jaipur-officials-use-drone-to-kill-locusts/story- SUa82z8JgkCDd3mViICtUI.html

  59. [86]

    Swarm Drone System with YOLOv8 Algorithm for Efficient Locust Management in Agricultural Environments,

    Kuriakose, R. Badarudheen, and L. Charapanjeri, "Swarm Drone System with YOLOv8 Algorithm for Efficient Locust Management in Agricultural Environments," International Journal of Advanced Research in Science, Communication and Technology (IJARSCT) , vol. 3, no. 3, pp. 177 –185,...

    2023 doi

  60. [87]

    https://arxiv.org/html/2411.18845v1

    arXiv

  61. [88]

    Watts, V.G

    A.C. Watts, V.G. Ambrosia, E.A. Hinkley, Unmanned aircraft systems in remote sensing and scientific research: classification and considerations of use, Remote Sens. 4 (6) (2012) 1671–1692

    2012

  62. [89]

    Brooke -Holland, Unmanned Aerial Vehicles (drones): An Introduction, House of Commons Library, UK, 2012

    L. Brooke -Holland, Unmanned Aerial Vehicles (drones): An Introduction, House of Commons Library, UK, 2012

    2012

  63. [90]

    Arjomandi, S

    A. Arjomandi, S. Agostino, M. Mammone, M. Nelson, T. Zhou, Classification of Unmanned Aerial Vehicle, Report for Mechanical Engineering class, University of Adelaide, Adelaide, Australia, 2006

    2006

  64. [91]

    Gupta, M.M

    S.G. Gupta, M.M. Ghonge, P.M. Jawandhiya, Review of unmanned aircraft system (UAS), Technology 2 (4) (2013)

    2013

  65. [92]

    Cavoukian, Privacy and Drones: Unmanned Aerial Vehicles, Information and Privacy Commissioner of Ontario, Canada, 2012, pp

    A. Cavoukian, Privacy and Drones: Unmanned Aerial Vehicles, Information and Privacy Commissioner of Ontario, Canada, 2012, pp. 1–30

    2012

  66. [93]

    Weibel, R.J

    R.E. Weibel, R.J. Hansman, Safety considerations for operation of differentclasses of UAVs in the NAS, in: Proceedings of the 4th Aviation Technology, Integration and Operations Forum, AIAA 3rd Unmanned Unlimited TechnicalConference, Workshop and Exhibit, September, 2004

    2004

  67. [94]

    Autonomous vehicletechnologies for small fixed -wing UAVs,

    R. W. Beard, D. Kingston, M. Quigley, D. Snyder, R. Christiansen, W. Johnson, et al., "Autonomous vehicletechnologies for small fixed -wing UAVs," Journal of Aerospace Computing, Information, andCommunication, vol. 2, pp. 92-108, 2005

    2005

  68. [96]

    The use of unmanned aerial vehicles (UAVs) for remote sensing and mapping,

    J. Everaerts, "The use of unmanned aerial vehicles (UAVs) for remote sensing and mapping," TheInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. 37,pp. 1187 -1192, 2008

    2008

  69. [97]

    Bio -inspired design of flapping -wing micro airvehicles,

    K. Jones, C. Bradshaw, J. Papadopoulos, and M. Platzer, "Bio -inspired design of flapping -wing micro airvehicles," The Aeronautical Journal, vol. 109, pp. 385 -393, 2005. (PDF) Unmanned Aerial Vehicle Classification, Applications and Challenges: A Review . Available from: htt...

    2005

  70. [98]

    Applications and classifications of unmanned aerial vehicles: A literature review with focus on multi -rotors

    Sabour MH, Jafary P, Nematiyan S. Applications and classifications of unmanned aerial vehicles: A literature review with focus on multi -rotors. The Aeronautical Journal. 2023;127(1309):466-490. doi:10.1017/aer.2022.75 40

    2023 doi

  71. [99]

    and Abdelkefi, A

    Hassanalian, M. and Abdelkefi, A. Classifications, applications, and design challenges of drones: A review, Prog. Aerosp. Sci., 2017, 91, pp 99–

    2017

  72. [100]

    Unmanned Aerial Vehicle Classification, Applications and Challenges: A Review,

    G. Singhal, B. S. Bansod, and L. Mathew, "Unmanned Aerial Vehicle Classification, Applications and Challenges: A Review," Preprints, Nov

  73. [101]

    Operation and operation approval of high -altitude platforms,

    F. Nikodem and S. Kaltenhäuser, "Operation and operation approval of high -altitude platforms," CEAS Aeronautical Journal, vol. 11, pp. 1037 – 1044, Dec. 2020. doi: 10.1007/s13272-020-00464-9

    2020 doi

  74. [102]

    A Comprehensive Review of Unmanned Aerial Vehicle Attacks and Neutralization Techniques,

    V. Chamola, P. Kotesh, A. Agarwal, N. Gupta, and M. Guizani, "A Comprehensive Review of Unmanned Aerial Vehicle Attacks and Neutralization Techniques," Ad Hoc Networks, vol. 111, 2021, Art. no. 102324. doi: 10.1016/j.adhoc.2020.102324

    2021

  75. [103]

    Available: https://www.auav.com.au/articles/dronetypes/

    Types of Drones: Multi-Rotor vs Fixed-Wing vs Single Rotor vs Hybrid VTOL, [Online]. Available: https://www.auav.com.au/articles/dronetypes/. Google Scholar

  76. [104]

    https://www.jouav.com/blog/drone-types.html

  77. [105]

    Hockley, B

    C. Hockley, B. Butka, The SamarEye: A biologically inspired autonomous vehicle,In Digital Avionics Systems Conference (DASC), 2010 IEEE/AIAA 29th, Salt Lake City, UT, USA, October, 2010

    2010

  78. [106]

    Tafreshi, I

    M. Tafreshi, I. Shafieenejad, A.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) 2 (12) (2014)

    2014

  79. [107]

    Ubaya, M

    H. Ubaya, M. Iqbal, First person view on flying robot for real time monitoring, ICON-CSE 1 (1) (2015) 41–44

    2015

  80. [108]

    R. O'Connor, Developing a Multirotor UAV Platform to Carry Out Research Into Autonomous Behaviours, Using On -board Image Processing Techniques (BEThesis), Faculty of Engineering, Computing and Mathematics, University of Western Australia, 2013

    2013

  81. [109]

    and Laporte, G

    Macrina, G., Di Puglia Pugliese, L., Guerriero, F. and Laporte, G. Drone-aided routing: A literature review, Transp. Res. Part C Emerg. Technol., 2020, 120, p 102762. doi: 10.1016/j.trc.2020.102762.CrossRefGoogle Scholar [110]

    2020

  82. [111]

    Stefanovic, M

    V. Stefanovic, M. Marjanovic, M. Bajovic, Conceptual system designs civil UAV fortypical aerial work applications, in: Proceedings of the 5th International ScientificConference on Defensive Technologies, Belgrade, Serbia, 18–19 September, 2012

    2012

  83. [112]

    A literature survey of unmanned aerial vehicle usage for civil applications,

    M. Sivakumar and N. M. TYJ, "A literature survey of unmanned aerial vehicle usage for civil applications," SRM Institute of Science and Technology – Department of Networking and Communications, Chennai, Tamil Nadu, India

  84. [113]

    IEEE Trans Wirel Commun 15(3):2365–2380

    Ding M, Wang P, López -Pérez D, Mao G, Lin Z (2015) Performance impact of LoS and NLoS transmissions in dense cellular networks. IEEE Trans Wirel Commun 15(3):2365–2380

    2015

  85. [114]

    In: 2017 IEEE 18th international symposium on a world of wireless, mobile and multimedia networks (WoWMoM)

    Fotouhi A, Ding M, Hassan M (2017) Understanding autonomous drone maneuverability for internet of things applications. In: 2017 IEEE 18th international symposium on a world of wireless, mobile and multimedia networks (WoWMoM). IEEE, pp 1–6

    2017

  86. [115]

    Mohsan, S.A.H., Othman, N.Q.H., Li, Y. et al. Unmanned aerial vehicles (UAVs): practical aspects, applications, open challenges, security issues, and future trends. Intel Serv Robotics 16, 109 –137 (2023). https://doi.org/10.1007/s11370-022-00452-4

    2023 doi

  87. [116]

    A Comprehensive Review of Recent Research Trends on Unmanned Aerial Vehicles (UAVs),

    K. Telli, O. Kraa, Y. Himeur, A. Ouamane, M. Boumehraz, S. Atalla, and W. Mansoor, "A Comprehensive Review of Recent Research Trends on Unmanned Aerial Vehicles (UAVs)," Systems, vol. 11, no. 8, p. 400, Aug. 2023, doi: 10.3390/systems11080400

    2023 doi

  88. [117]

    Validation of beyond visual -line-of-sight drone photogrammetry for terrain and canopy height applications,

    J. Van der Sluijs, E. Saiet, R. H. Fraser, S. V. Kokelj, and C. N. Bakelaar, "Validation of beyond visual -line-of-sight drone photogrammetry for terrain and canopy height applications," Remote Sensing Applications: Society and Environment , vol. 35, p. 101266, 2024, doi: 10.1...

    2024

  89. [118]

    A Review on the State of the Art in Copter Drones and Flight Control Systems,

    J. Peksa and D. Mamchur, "A Review on the State of the Art in Copter Drones and Flight Control Systems," Sensors, vol. 24, no. 11, p. 3349, 2024, doi: 10.3390/s24113349

    2024 doi

  90. [119]

    A Pilot Study of Smart Agricultural Irrigation using Unmanned Aerial Vehicles and IoT - Based Cloud System,

    M. E. Karar, F. Alotaibi, A. A. Rasheed, and O. Reyad, "A Pilot Study of Smart Agricultural Irrigation using Unmanned Aerial Vehicles and IoT - Based Cloud System," Information Sciences Letters , vol. 10, no. 1, pp. 131, Jan. 2021, doi: 10.18576/isl/100115

    2021 doi

  91. [120]

    https://ardupilot.org/ardupilot/

  92. [121]

    Towards an Architecture for Customizable Drones,

    M. Hussein and R. Nouacer, "Towards an Architecture for Customizable Drones," in Proceedings of the IEEE Computer Society Signature Conference on Computers, Software and Applications (COMPSAC), June 2020, DOI: 10.1109/COMPSAC48688.2020.00019

    2020

  93. [122]

    Unmanned Aerial Vehicle Path Following: A Survey and Analysis of Algorithms for Fixed -Wing Unmanned Aerial Vehicless,

    P. B. Sujit, S. Saripalli and J. B. Sousa, "Unmanned Aerial Vehicle Path Following: A Survey and Analysis of Algorithms for Fixed -Wing Unmanned Aerial Vehicless," in IEEE Control Systems Magazine, vol. 34, no. 1, pp. 42 - 59, Feb. 2014, doi: 10.1109/MCS.2013.2287568

    2014

  94. [123]

    W., & McLain, T

    Beard, R. W., & McLain, T. W. (2012). Small Unmanned Aircraft: Theory and Practice. Princeton University Press

    2012

  95. [124]

    MEMS based IMU for tilting measurement: Comparison of complementary and kalman filter based data fusion,

    P. Gui, L. Tang and S. Mukhopadhyay, "MEMS based IMU for tilting measurement: Comparison of complementary and kalman filter based data fusion," 2015 IEEE 10th Conference on Industrial Electronics and Applications (ICIEA) , Auckland, New Zealand, 2015, pp. 2004 -2009, doi: 10.1...

    2015

  96. [125]

    doi:10.3390/s24010125

    doi

  97. [126]

    A Multilevel Architecture for Autonomous UAVs,

    L. Bigazzi, M. Basso, E. Boni, G. Innocenti, and M. Pieraccini, "A Multilevel Architecture for Autonomous UAVs," Drones, vol. 5, no. 3, p. 55, June 2021, doi: 10.3390/drones5030055

    2021 doi

  98. [127]

    Singh, R., Ballal, K.D., Berger, M.S., Dittmann, L. (2022). Overview of Drone Communication Requirements in 5G. In: González -Vidal, A., Mohamed Abdelgawad, A., Sabir, E., Ziegler, S., Ladid, L. (eds) Internet of Things. GIoTS 2022. Lecture Notes in Computer Science, vol 13533...

    2022 doi

  99. [128]

    Reference Architecture Specification for Drone Systems,

    M. Hussein and R. Nouacer, "Reference Architecture Specification for Drone Systems," Faculty of Computers and Information, Menofia University, Egypt, and Université Paris -Saclay, CEA, LIST, Software and System Engineering Department (DILS), Palaiseau, France, [Online]. Availa...

  100. [129]

    UAV IoT Framework Views and Challenges: Towards Protecting Drones as 'Things',

    T. Lagkas, S. Bibi, V. Argyriou, and P. G. Sarigiannidis, "UAV IoT Framework Views and Challenges: Towards Protecting Drones as 'Things'," Sensors, vol. 18, no. 11, Nov. 2018, Art. no. 4015, doi: 10.3390/s18114015

    2018 doi

  101. [132]

    https://chatgpt.com/

  102. [133]

    https://cfdflowengineering.com/working-principle-and-components-of- drone/

  103. [134]

    https://www.linkedin.com/pulse/major-components-adrone-mohamed- shawky/

  104. [135]

    https://robu.in/guide-of-drone-propellers-and-types-of-propellers/ 41

  105. [137]

    999, NACA (PDF) Comparative Study of Two and Three Blade Mini Propellers Aerodynamic Performance

    Stack, J., Eugene, C., Draley., James, B., Delano., andLewis, F., 1950, “Investigation of the NACA 4 - (3)(08) -03 and NACA 4 -(3)(08)-045 Two Blade Propellers atForward Mach Numbers to 0.725 to determine the effectsof Compressibility and Solidity on Performance”,Technical Rep...

    1950

  106. [138]

    https://www.xboom.in/shop/drones/drone-accessories/propellers/dji-air- 2-low-noise-propellers/ [138]https://insidefpv.com/products/gemfan-hurricane-6038-4-blade- propeller-midnight-gray-pc-2l2r

  107. [139]

    Kumar, The Unmanned Aerial Vehicle: The Anatomy of Drones, Regulations and Future in India, Cosmic Inception, Jan

    V. Kumar, The Unmanned Aerial Vehicle: The Anatomy of Drones, Regulations and Future in India, Cosmic Inception, Jan. 2023, ISBN: 978-93- 95590-83-9

    2023

  108. [140]

    Drones for Intelligent Agricultural Management,

    S. Mustafi, P. Ghosh, K. Roy, and S. N. Mandal, "Drones for Intelligent Agricultural Management," in IoT-based Intelligent Modelling for Environmental and Ecological Engineering, S. N. Mandal, Ed., June 2021, pp. 4, doi: 10.1007/978-3-030-71172-6_4

    2021 doi

  109. [141]

    https://smartxprokits.in/a-complete-guide-of-drone-propellers-and-their- types/?srsltid=AfmBOoqPjPmENjwKs7lJeJNGM4UuK3rHWcQgjYIBMIL1J uRXzSjH0kRG

  110. [142]

    Design and Analysis of Drone Propeller by Using Aluminium and Nylon Materials,

    H. Sai Teja, G. Chawan, S. Nilay, and U. S. Jyothi, "Design and Analysis of Drone Propeller by Using Aluminium and Nylon Materials," E3S Web of Conferences , vol. 391, p. 01032, Jun. 2023, doi: 10.1051/e3sconf/202339101032

    2023

  111. [143]

    Aerodynamic Performance of Propellers for Multirotor Unmanned Aerial Vehicles: Measurement, Analysis, and Experiment,

    H. Zhu, Z. Jiang, H. Zhao, S. Pei, H. Li, and Y. Lan, "Aerodynamic Performance of Propellers for Multirotor Unmanned Aerial Vehicles: Measurement, Analysis, and Experiment," International Journal of Aerospace Engineering, vol. 2021, Art. no. 9538647, 2021, doi: 10.1155/2021/9538647

    2021 doi

  112. [144]

    Experimental Study on Efficient Propulsion System for Multicopter UAV Design Applications,

    S. Goli, D. F. Kurtuluş, L. M. Alhems, A. M. Memon, and I. H. Imran, "Experimental Study on Efficient Propulsion System for Multicopter UAV Design Applications," Results in Engineering, vol. 20, Art. no. 101555, 2023, doi: 10.1016/j.rineng.2023.101555. [145]https://mechtex.com...

    2023

  113. [146]

    An analysis of properties of the BLDC motor for unmanned aerial vehicle hybrid drive,

    P. Bogusz, M. Korkosz, A. Powrózek, J. Prokop and P. Wygonik, "An analysis of properties of the BLDC motor for unmanned aerial vehicle hybrid drive," 2015 International Conference on Electrical Drives and Power Electronics (EDPE) , Tatranska Lomnica, Slovakia, 2015, pp. 458 -4...

    2015

  114. [147]

    Experimental and Numerical Considerations for the Motor -Propeller Assembly’s Air Flow Field over a Quadcopter’s Arm,

    A. Tofan -Negru, A. Ștefan, L. Ș. Grigore, and I. Oncioiu, "Experimental and Numerical Considerations for the Motor -Propeller Assembly’s Air Flow Field over a Quadcopter’s Arm," Drones, vol. 7, no. 3, p. 199, Mar. 2023, doi: 10.3390/drones7030199

    2023 doi

  115. [148]

    https://www.linquip.com/blog/switched-reluctance-motor/ [149]https://hitechxyz.in/products/dji-2212-920kv-brushless-dc-motor-for- drone-with-black-cap-cw-motor-rotation

  116. [150]

    https://www.unmannedsystemstechnology.com/company/rcv-engines/

  117. [151]

    https://insidefpv.com/products/bir-v2-brushed-motors

  118. [152]

    https://robu.in/product/pixhawk-px4-autopilot-pix-2-4-8-32-bit-flight- controller/

  119. [153]

    https://www-v1.dji.com/naza-m-v2.html

  120. [154]

    https://www.ardupilot.co.uk/ [155]https://betaflight.com/docs/development/manufacturer/fc_documentation /fc-doc-example [156]https://www.dronefactory.ch/produkt/kiss-ultra-fcfc-v2-flight-controller/

  121. [157]

    A Survey of Open -Source UAV Flight Controllers and Flight Simulators,

    E. S. M. Ebeid, M. Skriver, K. H. Laursen, and U. Schultz, "A Survey of Open -Source UAV Flight Controllers and Flight Simulators," Microprocessors and Microsystems , vol. 61, pp. 11 -25, May 2018, doi: 10.1016/j.micpro.2018.05.002

    2018 doi

  122. [158]

    Design and Development of Flight Controller for Quadcopter Drone Control,

    A. Muhamad, S. D. Panjaitan, and R. R. Yacoub, "Design and Development of Flight Controller for Quadcopter Drone Control," Telecommunications Computers and Electricals Engineering Journal , vol. 1, no. 3, p. 279, Feb. 2024, doi: 10.26418/telectrical.v1i3.73681

    2024 doi

  123. [159]

    Design of UAV Antennas and Challenges: Review,

    J. Kapil, S. K. Vivek, and S. Vineet, "Design of UAV Antennas and Challenges: Review," Emerging Advances in Engineering , vol. 2, no. 1, pp. 10-20, Apr. 2023, doi: 10.46632/eae/2/1/2

    2023 doi

  124. [160]

    Review of Patch Antennas used in Drone Applications,

    M. M. H. Mahfuz and C. -W. Park, "Review of Patch Antennas used in Drone Applications," in IEEE Access, vol. 11, pp. 58367 -58388, 2023, doi: 10.1109/ACCESS.2023.3284040

    2023

  125. [161]

    Design and Comparative Study Among Antennas of GCS for Telemetry Communication System of UAV,

    "Design and Comparative Study Among Antennas of GCS for Telemetry Communication System of UAV," International Journal of Information Technology and Electrical Engineering (IJITEE), vol. 3, no. 4, p. 99, Mar. 2020, doi: 10.22146/ijitee.50866

    2020 doi

  126. [162]

    Meta Surface-Based Multiband MIMO Antenna for UAV Communications at mm-Wave and Sub-THz Bands,

    T. Saeidi, S. Saleh, N. Timmons, A. J. A. Al -Gburi, S. Karamzadeh, A. A. Althuwayb, N. Rashid, K. Kaaniche, A. B. Atitallah, and O. I. Elhamrawy, "Meta Surface-Based Multiband MIMO Antenna for UAV Communications at mm-Wave and Sub-THz Bands," Drones, vol. 8, no. 8, p. 403, Au...

    2024 doi

  127. [163]

    Comparative Analysis and Development of Receivers for Drone Remote Identification,

    X. Guo, "Comparative Analysis and Development of Receivers for Drone Remote Identification," Bachelor’s thesis, School of Electrical Engineering and Computer Science, Skysense AB, Dec. 2023

    2023

  128. [164]

    A Detailed Review Analysis of GPS used in Drone Technology and its Challenges,

    N. Rajiv Gandhi, D. Kumar, E. Arunkumar, S. Parameshwari, M. Sadim and R. R. Al -Fatlawy, "A Detailed Review Analysis of GPS used in Drone Technology and its Challenges," 2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE...

    2024

  129. [165]

    A Novel Distributed Architecture for UAV Indoor Navigation,

    Y. Li, M. Scanavino, E. Capello, F. Dabbene, G. Guglierib, and A. Vilardi, "A Novel Distributed Architecture for UAV Indoor Navigation," presented at the International Conference on Air Transport – INAIR 2018 , Harbin Institute of Technology, Harbin, China, 2018

    2018

  130. [166]

    Autonomous Quadrotor Navigation With Vision-Based Obstacle Avoidance and Path Planning,

    H.-Y. Lin and X. -Z. Peng, "Autonomous Quadrotor Navigation With Vision-Based Obstacle Avoidance and Path Planning," Advanced Institute of Manufacturing with High -Tech Innovation , National Chung Cheng University, Minxiong, Taiwan, 2024

    2024

  131. [167]

    Proposal for Navigation and Control System for Small UAV,

    G. Kopecki, J. Pieniążek, T. Rogalski, P. Rzucidło, and A. Tomczyk, "Proposal for Navigation and Control System for Small UAV," Department of Avionics and Control, Rzeszów University of Technology, Rzeszów, Poland

  132. [168]

    Survey on UAV Navigation in GPS Denied Environments,

    B. G. Balamurugan, J. Valarmathi, and V. P. S. Naidu, "Survey on UAV Navigation in GPS Denied Environments," in Proceedings of the International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES), Vellore, India, 2016, pp. 1-6, doi: [insert DOI ...

    2016

  133. [169]

    Autonomous Systems: Indoor Drone Navigation,

    A. Iyer, S. Narayan, N. M, and M. K. Rajagopal, "Autonomous Systems: Indoor Drone Navigation," Vellore Institute of Technology, Chennai Campus. Available: https://www.researchgate.net/publication/370102903_Autonomous_Systems_ Autonomous_Systems_Indoor_Drone_Navigation [accesse...

    2024

  134. [170]

    An Insight on UAV/Drone Autonomous Navigation Methods and Applications: A Review,

    T. Sharma, B. Acharya, H. Daga, and J. -R. Chang, "An Insight on UAV/Drone Autonomous Navigation Methods and Applications: A Review," International Journal of Social and Humanistic Computing , vol. 3, no. 3/4, pp. 245-269, Oct. 2020, doi: 10.1504/IJSHC.2020.10033214

    2020

  135. [171]

    An Overview of Outdoor and Indoor Navigation in Regard to the Use of Existing Standards,

    L. P. Burkardsmaier and T. S. Jansen, "An Overview of Outdoor and Indoor Navigation in Regard to the Use of Existing Standards," in Proceedings of the 34th Forum Bauinformatik, Bochum, Germany, Sep. 2023, doi: 10.13154/294-10121

    2023 doi

  136. [172]

    Vision -Based UAV Detection and Localization to Indoor Positioning System,

    K. Choutri, M. Lagha, S. Meshoul, H. Shaiba, A. Chegrani, and M. Yahiaoui, "Vision -Based UAV Detection and Localization to Indoor Positioning System," Sensors, vol. 24, no. 13, Art. no. 4121, Jun. 2024, doi: 10.3390/s24134121

    2024 doi

  137. [173]

    Research on Indoor Navigation System of UAV Based on LIDAR,

    C. Xin, G. Wu, C. Zhang, K. Chen, J. Wang and X. Wang, "Research on Indoor Navigation System of UAV Based on LIDAR," 2020 12th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA) , Phuket, Thailand, 2020, pp. 763 -766, doi: 10.1109/ICMTMA50254...

    2020

  138. [174]

    A Mapless Navigation Method Based on Deep Reinforcement Learning and Path Planning,

    J. Wang and R. Huang, "A Mapless Navigation Method Based on Deep Reinforcement Learning and Path Planning," 2022 IEEE International Conference on Robotics and Biomimetics (ROBIO) , Jinghong, China, 2022, pp. 1781-1786, doi: 10.1109/ROBIO55434.2022.10011923

    2022

  139. [175]

    Mapless Navigation for Autonomous Robots: A Deep Reinforcement Learning Approach,

    P. Zhang, C. Wei, B. Cai and Y. Ouyang, "Mapless Navigation for Autonomous Robots: A Deep Reinforcement Learning Approach," 2019 Chinese Automation Congress (CAC) , Hangzhou, China, 2019, pp. 3141 - 3146, doi: 10.1109/CAC48633.2019.8997292

    2019

  140. [176]

    Mapless Navigation Based on 2D LIDAR in Complex Unknown Environments,

    K. Yan and B. Ma, "Mapless Navigation Based on 2D LIDAR in Complex Unknown Environments," Sensors, vol. 20, no. 20, p. 5802, Oct. 2020, doi: 10.3390/s20205802

    2020 doi

  141. [177]

    UAV -Based Simultaneous Localization and Mapping in Outdoor Environments: A Systematic Scoping Review,

    K. Wang, L. Kooistra, R. Pan, W. Wang, and J. Valente, "UAV -Based Simultaneous Localization and Mapping in Outdoor Environments: A Systematic Scoping Review," Journal of Field Robotics , Apr. 2024, doi: 10.1002/rob.22325

    2024 doi

  142. [178]

    A Review of UAV Autonomous Navigation in GPS -Denied Environments,

    Y. Chang, Y. Cheng, U. Manzoor, and J. Murray, "A Review of UAV Autonomous Navigation in GPS -Denied Environments," Robotics and Autonomous Systems , vol. 170, Art. no. 104533, 2023, doi: 10.1016/j.robot.2023.104533

    2023

  143. [179]

    Principles of Guidance, Navigation, and Control of UAVs,

    G. H. Elkaim, F. A. P. Lie, and D. Gebre -Egziabher, "Principles of Guidance, Navigation, and Control of UAVs," in Handbook of Unmanned Aerial Vehicles , 1st ed., Springer, 2014, pp. 347 –380, doi: 10.1007/978 -94- 007-7229-5_12

    2014 doi

  144. [180]

    Indoor positioning and wayfinding systems: a survey,

    J. Kunhoth, A. Karkar, S. Al -Maadeed, and A. Al -Ali, "Indoor positioning and wayfinding systems: a survey," Human-centric Computing and Information Sciences , vol. 10, no. 18, 2020, doi: 10.1186/s13673 -020- 00223-3

    2020 doi

  145. [181]

    A review on drones controlled in real -time," International Journal of Dynamics and Control , vol. 9, pp. 1832 –1846, Jan. 2021, doi: 10.1007/s40435-020-00725-0

    2021 doi

  146. [183]

    Cyber4Drone: A Systematic Review of Cyber Security and Forensics in Next -Generation Drones,

    V. Sihag, G. Choudhary, P. Choudhary, and N. Dragoni, "Cyber4Drone: A Systematic Review of Cyber Security and Forensics in Next -Generation Drones," Drones, vol. 7, no. 7, p. 430, Jun. 2023, doi: 10.3390/drones7070430

    2023 doi

  147. [184]

    Drones in Precision Agriculture: A Comprehensive Review of Applications, Technologies, and Challenges,

    R. Guebsi, S. Mami, and K. Chokmani, "Drones in Precision Agriculture: A Comprehensive Review of Applications, Technologies, and Challenges," Drones, vol. 8, no. 11, p. 686, Nov. 2024, doi: 10.3390/drones8110686

    2024 doi

  148. [185]

    Artificial Intelligence in Agriculture: Revolutionizing Crop Monitoring and Pest Control,

    F. A. Mussa, "Artificial Intelligence in Agriculture: Revolutionizing Crop Monitoring and Pest Control," Aug. 2024

    2024

  149. [186]

    Drone Delivery Systems for Logistics Operations: Identification of Regulatory Challenges,

    B. Madani and M. Ndiaye, "Drone Delivery Systems for Logistics Operations: Identification of Regulatory Challenges," 2023 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC), Edinburgh, United Kingdom, 2023, pp. 1 -7, doi: 10.1109/ICE/ITMC58018.2...

    2023

  150. [187]

    UAV -Based Delivery Systems: A Systematic Review, Current Trends, and Research Challenges,

    F. B. Sorbelli, "UAV -Based Delivery Systems: A Systematic Review, Current Trends, and Research Challenges," ACM Journal on Autonomous Transportation Systems, Feb. 2024, doi: 10.1145/3649224

    2024 doi

  151. [188]

    An Overview of Drone Applications in the Construction Industry

    Choi, H.-W.; Kim, H.-J.; Kim, S.-K.; Na, W.S. An Overview of Drone Applications in the Construction Industry. Drones 2023, 7, 515. https://doi.org/10.3390/drones7080515

    2023 doi

  152. [189]

    Construction Monitoring and Reporting using Drones and Unmanned Aerial Vehicles (UAVs),

    N. Anwar, F. A. Najam, and M. A. Izhar, "Construction Monitoring and Reporting using Drones and Unmanned Aerial Vehicles (UAVs)," in Proc. Tenth Int. Conf. Construction in the 21st Century (CITC -10), Colombo, Sri Lanka, Jul. 2018

    2018

  153. [190]

    Applications of UAV technology within the construction industry,

    Z. Škoda and J. Holcman, "Applications of UAV technology within the construction industry," Journal B&IT, vol. XI, no. 2, pp. 26 –34, Dec. 2021, doi: 10.14311/bit.2021.02.03

    2021 doi

  154. [191]

    Environmental Monitoring and Conservation Using Drones,

    F. I. R. E. Sehar, K. Manimala, E. F. I. Rani, and S. Darwin, "Environmental Monitoring and Conservation Using Drones," in Drone Applications for Industry 5.0 , May 2024, doi: 10.4018/979 -8-3693-2093- 8.ch019

    2024 doi

  155. [192]

    Drone -Enabled Wildlife Monitoring System: Revolutionizing Conservation Efforts,

    T. Kumarasan, D. Murugan, and M. Benedictvinoth, "Drone -Enabled Wildlife Monitoring System: Revolutionizing Conservation Efforts," J.J. College of Engineering and Technology , Aug. 2020, doi: 10.48047/nq.2020.18.8.nq20245

    2020 doi

  156. [193]

    Aerial surveillance system using UAV,

    Z. Zaheer, A. Usmani, E. Khan and M. A. Qadeer, "Aerial surveillance system using UAV," 2016 Thirteenth International Conference on Wireless and Optical Communications Networks (WOCN), Hyderabad, India, 2016, pp. 1-7, doi: 10.1109/WOCN.2016.7759885

    2016

  157. [194]

    Secure Utilization of Beacons and UAVs in Emergency Response Systems for Building Fire Hazard,

    S.-H. Seo, J. -I. Choi, and J. Song, "Secure Utilization of Beacons and UAVs in Emergency Response Systems for Building Fire Hazard," Sensors, vol. 17, no. 10, p. 2200, Sep. 2017, doi: 10.3390/s17102200

    2017 doi

  158. [195]

    Emerging Research Topics in Drone Healthcare Delivery,

    H. A. Campbell, V. Bosiocic, A. Hvala, M. Brady, M. A. Campbell, K. Skelton, and O. J. Luiz, "Emerging Research Topics in Drone Healthcare Delivery," Drones, vol. 8, no. 6, p. 258, Jun. 2024, doi: 10.3390/drones8060258

    2024 doi

  159. [196]

    Exploring the transformative role of drone technology in advancing healthcare delivery in Africa; a perspective,

    G. Olatunji, T. D. Isarinade, K. Emmanuel, D. Olatunji, and N. Aderinto, "Exploring the transformative role of drone technology in advancing healthcare delivery in Africa; a perspective," PMCID: PMC10553169, PMID: 37811059

  160. [197]

    Revolutionized Healthcare: Drone Based Medical Services for Remote Healthcare and Emergency Response,

    Aishwarya, "Revolutionized Healthcare: Drone Based Medical Services for Remote Healthcare and Emergency Response," Jun. 28, 2023. [Online]. Available: Updated: Sep. 10, 2023

    2023

  161. [198]

    Current Advancements in Drone Technology for Medical Sample Transportation,

    N. Stierlin, M. Risch, and L. Risch, "Current Advancements in Drone Technology for Medical Sample Transportation," Logistics, vol. 8, no. 4, p. 104, Oct. 2024. DOI: 10.3390/logistics8040104

    2024 doi

  162. [199]

    Drones and media industry,

    G. Tilak, "Drones and media industry," RUDN Journal of Studies in Literature and Journalism , vol. 25, no. 2, pp. 360 –366, Dec. 2020. DOI: 10.22363/2312-9220-2020-25-2-360-366. [200]https://www.dronitech.com/drones-are-revolutionizing-the-media- industry/ 43

    2020 doi

  163. [201]

    The use of UAV's for search and rescue operations,

    M. Półka, S. Ptak, and Ł. Kuziora, "The use of UAV's for search and rescue operations," Procedia Engineering, vol. 192, pp. 748 –752, 2017. DOI: 10.1016/j.proeng.2017.06.129

    2017 doi

  164. [202]

    Supporting Search and Rescue Operations with UAVs,

    S. Waharte and N. Trigoni, "Supporting Search and Rescue Operations with UAVs," 2010 International Conference on Emerging Security Technologies, Canterbury, UK, 2010, pp. 142-147, doi: 10.1109/EST.2010.31

    2010 doi

  165. [203]

    Drone assisted rescue system,

    E. M. Misquith, F. J. Danthi, H. M. N, K. Kiran, and A. N. J, "Drone assisted rescue system," International Journal of Engineering Research and Technology (IJERT), vol. 8, no. 5, pp. 1 -5, May 2019. [Online]. Available: http://www.ijert.org. [Accessed: Dec. 30, 2024]

    2019

  166. [204]

    The current opportunities and challenges in drone technology,

    M. Emimi, M. Khaleel, and A. Alkrash, "The current opportunities and challenges in drone technology," July 2023

    2023

  167. [205]

    Unmanned Aerial Vehicles (UAVs): A Survey on Civil Applications and Key Research Challenges,

    H. Shakhatreh et al., "Unmanned Aerial Vehicles (UAVs): A Survey on Civil Applications and Key Research Challenges," in IEEE Access, vol. 7, pp. 48572-48634, 2019, doi: 10.1109/ACCESS.2019.2909530

    2019

  168. [206]

    Unmanned aerial vehicles applications in future smart cities

    Mohamed N, Al -Jaroodi J, Jawhar I, Idries A, Mohammed F. Unmanned aerial vehicles applications in future smart cities. Technological Forecasting and Social Change. 2020;153(4):119293. doi: 10.1016/j.techfore.2018.05.004

    2020 doi

  169. [207]

    Advancements and Challenges in Drone Technology: A Comprehensive Review,

    P. S. Agrawal, P. S. Jawarkar, K. M. Dhakate, K. M. Parthani and A. S. Agnihotri, "Advancements and Challenges in Drone Technology: A Comprehensive Review," 2024 4th International Conference on Pervasive Computing and Social Networking (ICPCSN) , Salem, India, 2024, pp. 638 - ...

    2024

  170. [208]

    N., Franssen, M., Petermeijer, S

    Lingam, S. N., Franssen, M., Petermeijer, S. M., & Martens, M. (2024). Challenges and Future Directions for Human -Drone Interaction Research: An Expert Perspective. International Journal of Human –Computer Interaction , 1–17. https://doi.org/10.1080/10447318.2024.2400756

    2024

  171. [209]

    Drones: Current challenges and standardisation solutions in the field of privacy and data protection,

    C. Pauner, I. Kamara, and J. Viguri, "Drones: Current challenges and standardisation solutions in the field of privacy and data protection," in 2015 ITU Kaleidoscope: Trust in the Information Society (K -2015), December 2015, doi: 10.1109/Kaleidoscope.2015.7383633

    2015

  172. [210]

    UAV Swarm Intelligence: Recent Advances and Future Trends,

    Y. Zhou, B. Rao and W. Wang, "UAV Swarm Intelligence: Recent Advances and Future Trends," in IEEE Access , vol. 8, pp. 183856 -183878, 2020, doi: 10.1109/ACCESS.2020.3028865

    2020

  173. [211]

    UAV -enabled mobile edge -computing for IoT based on AI: A comprehensive review,

    Y. Yazid, I. Ez -Zazi, A. Guerrero -González, A. El Oualkadi, and M. Arioua, "UAV -enabled mobile edge -computing for IoT based on AI: A comprehensive review," Drones, vol. 5, no. 4, p. 148, Dec. 2021, doi: 10.3390/drones5040148

    2021 doi

  174. [212]

    In-depth review of AI-enabled unmanned aerial vehicles: trends, vision, and challenges,

    O. K. Pal, M. S. Shovon, M. F. Mridha, and J. Shin, "In-depth review of AI-enabled unmanned aerial vehicles: trends, vision, and challenges," Open Access, vol. 4, art. no. 97, Dec. 2024

    2024

  175. [213]

    A survey on the convergence of edge computing and AI for UAVs: Opportunities and challenges,

    P. McEnroe, S. Wang, and M. Liyanage, "A survey on the convergence of edge computing and AI for UAVs: Opportunities and challenges," IEEE Internet of Things Journal , vol. 9, no. 17, pp. 15435 -15447, Sept. 2022, doi: 10.1109/JIOT.2022.3183142

    2022

  176. [214]

    Solar-powered UAVs: A systematic literature review,

    L. S. Al Dhafari, A. Afzal, O. Al-Abri, and A. A. Khan, "Solar-powered UAVs: A systematic literature review," in Proc. 2024 2nd Int. Conf. Unmanned Vehicle Systems -Oman (UVS) , 2024, pp. 1 -6, doi: 10.1109/UVS59630.2024.10467158

    2024

  177. [215]

    Development of a solar -powered unmanned aerial vehicle for extended flight endurance,

    Y. Chu, C. Ho, Y. Lee, and B. Li, "Development of a solar -powered unmanned aerial vehicle for extended flight endurance," Drones, vol. 5, no. 2, p. 44, May 2021, doi: 10.3390/drones5020044

    2021 doi

  178. [216]

    Development of a solar powered multirotor micro aerial vehicle,

    A. Abidali, S. A. Agha, A. Munjiza, and M. H. Shaheed, "Development of a solar powered multirotor micro aerial vehicle," Sci. Rep., vol. 14, article no. 5771, 2024, doi: 10.1038/s41598-024-42518-0

    2024 doi

  179. [217]

    Robust UAV Policy Learning for Urban Infrastructure Surface Screening*,

    B. Du, U. M. Borhan, T. Chen, J. Chen, J. Li and J. Chen, "Robust UAV Policy Learning for Urban Infrastructure Surface Screening*," 2024 International Conference on Advanced Robotics and Mechatronics (ICARM) , Tokyo, Japan, 2024, pp. 1-8, doi: 10.1109/ICARM62033.2024.10715841

    2024

  180. [218]

    DroneARchery: Human-Drone Interaction through Augmented Reality with Haptic Feedback and Multi -UAV Collision Avoidance Driven by Deep Reinforcement Learning,

    E. Dorzhieva et al., "DroneARchery: Human-Drone Interaction through Augmented Reality with Haptic Feedback and Multi -UAV Collision Avoidance Driven by Deep Reinforcement Learning," 2022 IEEE International Symposium on Mixed and Augmented Reality (ISMAR) , Singapore, Singapore...

    2022

  181. [219]

    SkyroadAR: An augmented reality system for UAVs low -altitude public air route visualization,

    J. Tan, H. Ye, C. Xu, H. He, and X. Liao, "SkyroadAR: An augmented reality system for UAVs low -altitude public air route visualization," Drones, vol. 7, no. 9, article 587, 2023, doi: 10.3390/drones7090587

    2023 doi

  182. [221]

    https://www.aerogo.live/post/augmented-reality-for-drone-piloting- enhancing-training-and-applications?srsltid=AfmBOor4NRYeR- 8wto_FlMWWx7yrp4FBKhLW16BsUgIf3ZyZ5iS_vVJD

  183. [222]

    Drones as a service (DaaS) for 5G networks and blockchain -assisted IoT -based smart city infrastructure,

    T. Garg, S. Gupta, M. S. Obaidat, and M. Raj, "Drones as a service (DaaS) for 5G networks and blockchain -assisted IoT -based smart city infrastructure," Cluster Computing, vol. 27, no. 7, pp. 8725 –8788, Apr. 2024, doi: 10.1007/s10586-024-04354-1

    2024 doi

  184. [223]

    Micro - and nano-air vehicles: State of the art,

    L. Petricca, P. Ohlckers, and C. Grinde, "Micro - and nano-air vehicles: State of the art," Int. J. Aerospace Eng. , vol. 2011, no. 1, pp. 214549, Jan. 2011, doi: 10.1155/2011/214549

    2011 doi

  185. [224]

    https://euro-sd.com/2024/04/articles/37409/nano-uav-and-micro-uav- developments/

    2024

  186. [225]

    https://www.defenceiq.com/defence-technology/articles/nano-drone- tech-is-advancing

  187. [226]

    The role of video cameras and emerging technologies in disaster response to increase sustainability of societies: Insights on the 2023 Türkiye -Syria earthquake,

    C. Sousa Oliveira, M. A. Ferreira, and H. O'Neill, "The role of video cameras and emerging technologies in disaster response to increase sustainability of societies: Insights on the 2023 Türkiye -Syria earthquake," Sustainability, vol. 16, no. 17, Sep. 2024, doi: 10.3390/su16177618

    2023 doi

  188. [227]

    Portuguese Emergency Mission to Antakya (9 to 20 February

    PEMA. Portuguese Emergency Mission to Antakya (9 to 20 February

  189. [228]

    Shavarani, S.M., Nejad, M.G., Rismanchian, F. et al. Application of hierarchical facility location problem for optimization of a drone delivery system: a case study of Amazon prime air in the city of San Francisco. Int J Adv Manuf Technol 95, 3141 –3153 (2018). https://doi.org...

    2018 doi

  190. [229]

    Linear program and simulation model for aerial package delivery: A case study of Amazon Prime Air in Phoenix, AZ,

    L. Vempati, R. Crapanzano, C. Woodyard, and C. Trunkhill, "Linear program and simulation model for aerial package delivery: A case study of Amazon Prime Air in Phoenix, AZ," in 17th AIAA Aviation Technology, Integration, and Operations Conference , Jun. 2017, doi: 10.2514/6.20...

    2017 doi

  191. [231]

    Case study of detection and monitoring of wildlife by UAVs equipped with RGB camera and TIR camera,

    R. Perz, K. Wronowski, R. Domanski, and I. Dąbrowski, "Case study of detection and monitoring of wildlife by UAVs equipped with RGB camera and TIR camera," Aircraft Engineering and Aerospace Technology , vol. 95, no. 4, Sep. 2023, doi: 10.1108/AEAT-11-2022-0324. [232]https://s...

    2023 doi

  192. [233]

    The blood is here: Zipline's medical delivery drones are changing the game in Rwanda,

    E. Ackerman and M. Koziol, "The blood is here: Zipline's medical delivery drones are changing the game in Rwanda," IEEE Spectrum, vol. 56, no. 5, pp. 24–31, May 2019, doi: 10.1109/MSPEC.2019.8701196. 44

    2019

  193. [234]

    Blood delivery by drones: A case study on Zipline,

    A. Gangwal, A. Jain, and S. Mohanta, "Blood delivery by drones: A case study on Zipline," International Journal of Innovative Research in Science, Engineering and Technology, vol. 8, no. 8, Aug. 2019

    2019

  194. [235]

    Opportunities and challenges of using UAVs for Dubai smart city,

    F. Mohammed, A. Idries, N. Mohamed, I. Jawhar, and J. Al -Jaroodi, "Opportunities and challenges of using UAVs for Dubai smart city," in 2014 6th International Conference on New Technologies, Mobility and Security (NTMS), Dubai, United Arab Emirates, Mar. 2014, doi: 10.1109/NT...

    2014

  195. [239]

    Drone inspection in the energy industry: 4 success cases: Demonstrating how drone inspection improves efficiency and safety in the energy industry,

    C. Álvarez, "Drone inspection in the energy industry: 4 success cases: Demonstrating how drone inspection improves efficiency and safety in the energy industry," published June 11, 2024

    2024

  196. [240]

    https://www.internetgeography.net/topics/kerala-flood-case-study/

  197. [241]

    https://geospatialworld.net/blogs/kerala-floods-and-drones/

  198. [242]

    https://terra-droneagri.com/challenges-and-potential-of-smart-farming- in-asia/ [243]https://www.hstoday.us/featured/drones-and-port-security-in- brownsville-a-case-study-on-the-gulf/

  199. [244]

    https://terra-droneagri.com/

  200. [2018]

    doi: 10.20944/preprints201811.0601.v1

  201. [2023]

    ANEPC, Carnaxide, Portugal

    (personal information). ANEPC, Carnaxide, Portugal. 2023

    2023

Pith tools

Reviewed August 10, 2026 · model on record in the stance chip above.