Factors Influencing Measurement Accuracy of Unmanned Aerial Systems (UAS) and Photogrammetry in Construction Earthwork

Xi Wang; Julia C. Chen; Gabriel B. Dadi

Factors Influencing Measurement Accuracy of Unmanned Aerial Systems (UAS) and Photogrammetry in Construction Earthwork

Xi Wang, Julia C. Chen, Gabriel B. Dadi

Civil Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

Earthwork is one of the major components of construction projects. In recent years, unmanned aerial systems (UAS) as a data acquisition platform is becoming attractive for many surveying applications in construction. This work identifies the effects of various flight parameters and construction materials on the measurement accuracy and operational efficiency of UAS. Flight altitudes of 60, 90, 120, and 150 feet above ground level, two image overlapping rates (70% and 90%), and four common types of earthwork material with the use of 16 ground control points (GCPs), are chosen to analyze their influence on the positional errors through multiple comprehensive comparisons and statistical analysis. The results indicate that the use of GCPs is the most influential factor. However, it is necessary to obtain a balance among all factors because no single factor is able to improve the spatial quality of the model if others do not also perform well.

Original language	English
Title of host publication	Computing in Civil Engineering 2019
Subtitle of host publication	Data, Sensing, and Analytics - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2019
Editors	Yong K. Cho, Fernanda Leite, Amir Behzadan, Chao Wang
Pages	408-414
Number of pages	7
ISBN (Electronic)	9780784482438
State	Published - 2019
Event	ASCE International Conference on Computing in Civil Engineering 2019: Data, Sensing, and Analytics, i3CE 2019 - Atlanta, United States Duration: Jun 17 2019 → Jun 19 2019

Publication series

Name	Computing in Civil Engineering 2019: Data, Sensing, and Analytics - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2019

Conference

Conference	ASCE International Conference on Computing in Civil Engineering 2019: Data, Sensing, and Analytics, i3CE 2019
Country/Territory	United States
City	Atlanta
Period	6/17/19 → 6/19/19

Bibliographical note

Publisher Copyright:
© 2019 American Society of Civil Engineers.

ASJC Scopus subject areas

General Computer Science
Civil and Structural Engineering

Cite this

Wang, X., Chen, J. C., & Dadi, G. B. (2019). Factors Influencing Measurement Accuracy of Unmanned Aerial Systems (UAS) and Photogrammetry in Construction Earthwork. In Y. K. Cho, F. Leite, A. Behzadan, & C. Wang (Eds.), Computing in Civil Engineering 2019: Data, Sensing, and Analytics - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2019 (pp. 408-414). (Computing in Civil Engineering 2019: Data, Sensing, and Analytics - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2019).

Wang, Xi ; Chen, Julia C. ; Dadi, Gabriel B. / Factors Influencing Measurement Accuracy of Unmanned Aerial Systems (UAS) and Photogrammetry in Construction Earthwork. Computing in Civil Engineering 2019: Data, Sensing, and Analytics - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2019. editor / Yong K. Cho ; Fernanda Leite ; Amir Behzadan ; Chao Wang. 2019. pp. 408-414 (Computing in Civil Engineering 2019: Data, Sensing, and Analytics - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2019).

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title = "Factors Influencing Measurement Accuracy of Unmanned Aerial Systems (UAS) and Photogrammetry in Construction Earthwork",

abstract = "Earthwork is one of the major components of construction projects. In recent years, unmanned aerial systems (UAS) as a data acquisition platform is becoming attractive for many surveying applications in construction. This work identifies the effects of various flight parameters and construction materials on the measurement accuracy and operational efficiency of UAS. Flight altitudes of 60, 90, 120, and 150 feet above ground level, two image overlapping rates (70% and 90%), and four common types of earthwork material with the use of 16 ground control points (GCPs), are chosen to analyze their influence on the positional errors through multiple comprehensive comparisons and statistical analysis. The results indicate that the use of GCPs is the most influential factor. However, it is necessary to obtain a balance among all factors because no single factor is able to improve the spatial quality of the model if others do not also perform well.",

author = "Xi Wang and Chen, {Julia C.} and Dadi, {Gabriel B.}",

note = "Publisher Copyright: {\textcopyright} 2019 American Society of Civil Engineers.; ASCE International Conference on Computing in Civil Engineering 2019: Data, Sensing, and Analytics, i3CE 2019 ; Conference date: 17-06-2019 Through 19-06-2019",

year = "2019",

language = "English",

series = "Computing in Civil Engineering 2019: Data, Sensing, and Analytics - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2019",

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Wang, X, Chen, JC & Dadi, GB 2019, Factors Influencing Measurement Accuracy of Unmanned Aerial Systems (UAS) and Photogrammetry in Construction Earthwork. in YK Cho, F Leite, A Behzadan & C Wang (eds), Computing in Civil Engineering 2019: Data, Sensing, and Analytics - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2019. Computing in Civil Engineering 2019: Data, Sensing, and Analytics - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2019, pp. 408-414, ASCE International Conference on Computing in Civil Engineering 2019: Data, Sensing, and Analytics, i3CE 2019, Atlanta, United States, 6/17/19.

Factors Influencing Measurement Accuracy of Unmanned Aerial Systems (UAS) and Photogrammetry in Construction Earthwork. / Wang, Xi; Chen, Julia C.; Dadi, Gabriel B.
Computing in Civil Engineering 2019: Data, Sensing, and Analytics - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2019. ed. / Yong K. Cho; Fernanda Leite; Amir Behzadan; Chao Wang. 2019. p. 408-414 (Computing in Civil Engineering 2019: Data, Sensing, and Analytics - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - Earthwork is one of the major components of construction projects. In recent years, unmanned aerial systems (UAS) as a data acquisition platform is becoming attractive for many surveying applications in construction. This work identifies the effects of various flight parameters and construction materials on the measurement accuracy and operational efficiency of UAS. Flight altitudes of 60, 90, 120, and 150 feet above ground level, two image overlapping rates (70% and 90%), and four common types of earthwork material with the use of 16 ground control points (GCPs), are chosen to analyze their influence on the positional errors through multiple comprehensive comparisons and statistical analysis. The results indicate that the use of GCPs is the most influential factor. However, it is necessary to obtain a balance among all factors because no single factor is able to improve the spatial quality of the model if others do not also perform well.

AB - Earthwork is one of the major components of construction projects. In recent years, unmanned aerial systems (UAS) as a data acquisition platform is becoming attractive for many surveying applications in construction. This work identifies the effects of various flight parameters and construction materials on the measurement accuracy and operational efficiency of UAS. Flight altitudes of 60, 90, 120, and 150 feet above ground level, two image overlapping rates (70% and 90%), and four common types of earthwork material with the use of 16 ground control points (GCPs), are chosen to analyze their influence on the positional errors through multiple comprehensive comparisons and statistical analysis. The results indicate that the use of GCPs is the most influential factor. However, it is necessary to obtain a balance among all factors because no single factor is able to improve the spatial quality of the model if others do not also perform well.

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Wang X, Chen JC, Dadi GB. Factors Influencing Measurement Accuracy of Unmanned Aerial Systems (UAS) and Photogrammetry in Construction Earthwork. In Cho YK, Leite F, Behzadan A, Wang C, editors, Computing in Civil Engineering 2019: Data, Sensing, and Analytics - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2019. 2019. p. 408-414. (Computing in Civil Engineering 2019: Data, Sensing, and Analytics - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2019).

Factors Influencing Measurement Accuracy of Unmanned Aerial Systems (UAS) and Photogrammetry in Construction Earthwork

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus subject areas

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Cite this