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Options UAV applications in the construction industry using photogrammetry

Author

Listed:
  • Zbyn?k ?koda

    (Czech Technical University in Prague, Faculty of Civil Engineering)

Abstract

This paper aims to introduce the possibilities of unmanned aerial vehicles (UAVs) in construction. UAVs were the domain of predominantly armies, which sought to develop and use them for military purposes to eliminate human losses, thanks to the possibility of piloting from vast distances. In the last few years, however, the use of UAVs has greatly increased, both among professionals and the public, and is increasingly interfering in the field of civil aviation. An unmanned system is an unmanned aircraft, controlled remotely or capable of flying independently thanks to reprogrammed flight plans and various autonomous systems. After prices have dropped and availability has increased, the range of affordable unmanned systems that are offered to people has increased rapidly, which means that almost anyone can afford an unmanned system today. It is therefore not surprising that although unmanned systems are often used in the military for reconnaissance and offensive flights, they are also used for many civilian tasks, such as firefighting, police surveillance or field reconnaissance, and finally, UAVs find many use cases in civil engineering and construction, which will be presented in this paper.

Suggested Citation

  • Zbyn?k ?koda, 2021. "Options UAV applications in the construction industry using photogrammetry," Proceedings of Business and Management Conferences 12713400, International Institute of Social and Economic Sciences.
  • Handle: RePEc:sek:ibmpro:12713400
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    File URL: https://iises.net/proceedings/12th-business-management-conference-prague/table-of-content/detail?cid=127&iid=011&rid=13400
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    References listed on IDEAS

    as
    1. Fangnan Cui & Yaolong Liu & Yuanyuan Chang & Jin Duan & Jizu Li, 2016. "An overview of tourism risk perception," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 82(1), pages 643-658, May.
    2. repec:ces:ifodic:v:14:y:2016:i:3:p:19255706 is not listed on IDEAS
    3. Daniela Wech, 2016. "Asylum Applicants in the EU – An Overview," ifo DICE Report, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 14(03), pages 59-64, October.
    4. ., 2016. "An overview of monetary systems and exchange rate regimes," Chapters, in: The International Monetary System and the Theory of Monetary Systems, chapter 7, pages 57-60, Edward Elgar Publishing.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Drone; UAV; innovation; remotely piloted aircraft; 3D model; photogrammetry;
    All these keywords.

    JEL classification:

    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

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