Term of Award

Fall 2022

Degree Name

Master of Science, Civil Engineering

Document Type and Release Option

Thesis (open access)

Copyright Statement / License for Reuse

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.

Department

Department of Civil Engineering and Construction

Committee Chair

Gustavo Maldonado

Committee Member 1

Marcel Maghiar

Committee Member 2

Soonkie Nam

Abstract

This study presents an analysis of the accuracy of a 3D model generated by two different methods. In the first method, the 3D model is generated via Laser Scanning. In the second method, the 3D model is generated via Close-range Photogrammetry from a drone flying at 76 feet above the ground. Photogrammetry is a photo-based technique that uses images to generate 3D models of objects where distances could be extracted from. Close-range photogrammetry is the approach of generating a 3D model from a camera placed anywhere between 1 foot and 1000 feet relative to the object. Terrestrial LiDAR is the approach of generating a 3D point cloud from a laser scanner emitting an invisible laser to obtain the spatial position of 3D points. In this research, a case study was performed. It considers the Fusion Gymnasium located in Statesboro, Georgia. A closed traverse was established in order to georeference all 3D models within the same coordinate system. Several points and targets were marked with stickers on the ground, wall, and surrounding areas of the gym. The sticker points coordinates were measured by an accurate total-station instrument. After the laser scanning was performed and all the photographs from the 76 feet altitude flight were taken, the coordinates of sticker points were also extracted from both 3D models. The coordinates of sticker points, in each model, were then compared to the ones of the total station to determine their relative discrepancies. This study aims to analyze the positions and distances discrepancies of 3D models generated by close-range photogrammetry and terrestrial LiDAR versus the ones obtained by the total station.

OCLC Number

1433043470

Research Data and Supplementary Material

No

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