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035 a| (OCoLC)1397376835;

090 a| HD9715.A2;

049 a| EREE;

100 1 a| Acero Molina, Andres Leonardo,e| author.;

245 10 a| Using unmanned aircraft systems for construction verification, volume calculations, and field inspection /c| by Andres Leonardo Acero Molina.;

264 1 a| [Greenville, N.C.] :b| [East Carolina University],c| 2023.;

300 a| 1 online resource (92 pages) :b| illustrations (chiefly color);

336 a| textb| txt2| rdacontent;

337 a| computerb| c2| rdamedia;

338 a| online resourceb| cr2| rdacarrier;

347 a| text fileb| PDFc| 4.051 MB2| rda;

538 a| System requirements: Adobe Reader.;

538 a| Mode of access: World Wide Web.;

502 b| M.S.c| East Carolina Universityd| 2023.;

500 a| Presented to the Faculty of the Department of Construction Management;

500 a| Advisor: Yilei Huang;

500 a| Title from PDF t.p. (viewed October 17, 2024).;

520 3 a| The construction field is one of the most variable industries due to continuous technological advances impacting this industry. Innovative research is currently being applied to construction disciplines such as surveying and design in order to optimize labor, costs, and time. However, there remains a need to improve productivity and safety for construction projects. Unmanned Aircraft Systems (UAS) have been implemented as a means to offer a new alternative for onsite data collection, due to the limitations of traditional surveying methods such as GPS and total station, which are usually an exhausting manual process. The main goal of this research was to use UAS technologies to improve the efficiency of construction surveying and inspection activities. Different UAS flights were performed to verify a variety of measurements obtained from building plans. The comparison of volume calculations for an aggregate pile was determined using full point cloud data to generate a 3D model, which was compared with the 3D models obtained using GPS point and extracted point cloud. The model obtained using the full point cloud data showed greater accuracy as compared with the traditional surveying models since its generated surface was more similar to the actual surface of the pile. Field inspection of a bridge's typical structures was accomplished by using a point cloud model, as well as photogrammetric models under daylight and twilight conditions. The highest linear measurement variation for field inspection was almost 1/3 foot in a 33-foot length. This outcome yielded a generally acceptable degree of accuracy for inspection tasks. In addition, photogrammetric models can provide high-quality pictures for visual inspection of other bridge components, such as the assessment of the Rip Rap located at the beginning of the bridge selected for this research.;

504 a| Includes bibliographical references.;

650 0 a| Construction industryx| Technological innovations.;

650 0 a| Construction industryx| Safety measures.;

650 0 a| Drone aircraftx| Industrial applications.;

650 0 a| Three-dimensional modeling.;

653 a| UAS: Construction;

653 a| Volume;

653 a| Inspection, Verification;

700 1 a| Huang, Yilei,d| 1987-e| degree supervisor.1| https://id.oclc.org/worldcat/entity/E39PCjFvHc3mCXxqCKT4q68tJC;

710 2 a| East Carolina University.b| Department of Construction Management.;

856 40 z| Access via ScholarShipu| http://hdl.handle.net/10342/13116;

994 a| C0b| ERE;

596 a| 1 4;

998 a| 6234514;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 6234514-1001l| JNETm| JOYNERr| Ys| Yt| JNE3ETDu| 9/15/2023x| ETDz| JERESOURCE;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 6234514-2001l| HSLELECm| HSLr| Ys| Yt| HEETDu| 9/15/2023x| ETDz| HERESOURCE;

Using unmanned aircraft systems for construction verification, volume calculations, and field inspection / by Andres Leonardo Acero Molina.

Author/creator	Acero Molina, Andres Leonardo author.
Other author	Huang, Yilei, 1987- degree supervisor.
Other author	East Carolina University. Department of Construction Management.
Format	Theses and dissertations
Publication	[Greenville, N.C.] : [East Carolina University], 2023.
Description	1 online resource (92 pages) : illustrations (chiefly color)
Supplemental Content	Access via ScholarShip
Subjects	Construction industry--Technological innovations. Construction industry--Safety measures. Drone aircraft--Industrial applications. Three-dimensional modeling.

Summary	The construction field is one of the most variable industries due to continuous technological advances impacting this industry. Innovative research is currently being applied to construction disciplines such as surveying and design in order to optimize labor, costs, and time. However, there remains a need to improve productivity and safety for construction projects. Unmanned Aircraft Systems (UAS) have been implemented as a means to offer a new alternative for onsite data collection, due to the limitations of traditional surveying methods such as GPS and total station, which are usually an exhausting manual process. The main goal of this research was to use UAS technologies to improve the efficiency of construction surveying and inspection activities. Different UAS flights were performed to verify a variety of measurements obtained from building plans. The comparison of volume calculations for an aggregate pile was determined using full point cloud data to generate a 3D model, which was compared with the 3D models obtained using GPS point and extracted point cloud. The model obtained using the full point cloud data showed greater accuracy as compared with the traditional surveying models since its generated surface was more similar to the actual surface of the pile. Field inspection of a bridge's typical structures was accomplished by using a point cloud model, as well as photogrammetric models under daylight and twilight conditions. The highest linear measurement variation for field inspection was almost 1/3 foot in a 33-foot length. This outcome yielded a generally acceptable degree of accuracy for inspection tasks. In addition, photogrammetric models can provide high-quality pictures for visual inspection of other bridge components, such as the assessment of the Rip Rap located at the beginning of the bridge selected for this research.
General note	Presented to the Faculty of the Department of Construction Management
General note	Advisor: Yilei Huang
General note	Title from PDF t.p. (viewed October 17, 2024).
Dissertation note	M.S. East Carolina University 2023.
Bibliography note	Includes bibliographical references.
Technical details	System requirements: Adobe Reader.
Technical details	Mode of access: World Wide Web.

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Using unmanned aircraft systems for construction verification, volume calculations, and field inspection / by Andres Leonardo Acero Molina.

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