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Notice of retraction
Vol. 34, No. 8(3), S&M3042

Notice of retraction
Vol. 32, No. 8(2), S&M2292

Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Sensors and Materials
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Sensors and Materials, Volume 32, Number 11(4) (2020)
Copyright(C) MYU K.K.
pp. 3923-3933
S&M2385 Research Paper of Special Issue
https://doi.org/10.18494/SAM.2020.2971
Published in advance: November 19, 2020
Published: November 30, 2020

Change Monitoring at Expressway Infrastructure Construction Sites Using Drone [PDF]

Suk Bae Lee, Mihwa Song, Sukgu Kim, and Jae-Ho Won

(Received June 30, 2020; Accepted September 8, 2020)

Keywords: UAV, 3D topographic model, deformation monitoring, orthophoto, expressway construction site, drone

Currently, unmanned aerial vehicles (UAVs) are used not only in mapping but also in various other fields such as forest research, search and rescue, and drone delivery. This study examines the possibility of deformation monitoring using UAVs at expressway construction sites in Korea. In this study, UAV photogrammetry was performed three times, and an orthophoto, digital surface model (DSM), and 3D topographic information model (TIM) of the construction site were produced through data processing. Furthermore, the construction status of the earthwork and structure work was verified with time-series images and overlapping of the 3D TIM with 2D computer-aided design (CAD) and 3D building information model (BIM) design drawings. It is concluded that it is possible to monitor deformation and construction management using UAV photogrammetry at expressway infrastructure construction sites. In addition, drones are expected to be widely used in construction sites.

Corresponding author: Suk Bae Lee


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Cite this article
Suk Bae Lee, Mihwa Song, Sukgu Kim, and Jae-Ho Won, Change Monitoring at Expressway Infrastructure Construction Sites Using Drone, Sens. Mater., Vol. 32, No. 11, 2020, p. 3923-3933.



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