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

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-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 languageEnglish
Title of host publicationComputing in Civil Engineering 2019
Subtitle of host publicationData, Sensing, and Analytics - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2019
EditorsYong K. Cho, Fernanda Leite, Amir Behzadan, Chao Wang
Pages408-414
Number of pages7
ISBN (Electronic)9780784482438
StatePublished - 2019
EventASCE International Conference on Computing in Civil Engineering 2019: Data, Sensing, and Analytics, i3CE 2019 - Atlanta, United States
Duration: Jun 17 2019Jun 19 2019

Publication series

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

Conference

ConferenceASCE International Conference on Computing in Civil Engineering 2019: Data, Sensing, and Analytics, i3CE 2019
Country/TerritoryUnited States
CityAtlanta
Period6/17/196/19/19

Bibliographical note

Publisher Copyright:
© 2019 American Society of Civil Engineers.

ASJC Scopus subject areas

  • Computer Science (all)
  • Civil and Structural Engineering

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