Presentation Title

Unmanned Aircraft Systems(UAS) for As-Built Actualization and Site Monitoring

Faculty Mentor

Omar E. Mora

Start Date

17-11-2018 9:30 AM

End Date

17-11-2018 9:45 AM

Location

C302

Session

Oral 2

Type of Presentation

Oral Talk

Subject Area

engineering_computer_science

Abstract

As technology advances there has been an increased amount of methods developed for the use of mapping and computing data for as-built actualization and site monitoring in construction, and civil engineering projects. One of the most popular methods is photogrammetry with Unmanned Aircraft Systems (UAS). This system gives us dense point clouds and models which are created from imagery. However, the collected data given has been perceived in the past to not give the greatest accuracy with respect to position. Due to the possibility of being given unreliable positioning there has been an increase in studies of the capabilities of UAS based mapping and computing. Therefore, this research study focuses on an accuracy assessment based on UAS derived point clouds. Our study area is located in Ontario, California, in particular, the Citizens Bank Arena parking lot. To verify the accuracy of the UAS derived point cloud, check points were used as verification, and were measured throughout the study area using a Global Navigation Satellite System (GNSS) Real-Time Kinematic survey results indicate that UAS derived point clouds provide sufficient accuracy that is necessary for most civil, and construction engineering projects.

Summary of research results to be presented

When comparing the differences in positioning from the Real Time Kinetic (RTK) survey and the photogrammetry compilation from the Unmanned Aerial System (UAS), the project results concluded that the use of UAS is an acceptable method for computing and mapping data for as-built actualizations and site monitoring in construction and civil engineering projects. The nineteen tie points were found to be within an acceptable limit of error in the photogrammetric dataset. Additionally, the dense point clouds that were derived from UAS imagery enabled further geometric measuring between points in the area to determine features without needing to return to the site itself. Through this process we determined that the photogrammetry system and methods are reliable and accurate enough for use in many systems and projects. This would in the long run allow engineers to more easily determine feasibility of certain projects and give municipalities an option to better record their area to a precise enough scale.

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Nov 17th, 9:30 AM Nov 17th, 9:45 AM

Unmanned Aircraft Systems(UAS) for As-Built Actualization and Site Monitoring

C302

As technology advances there has been an increased amount of methods developed for the use of mapping and computing data for as-built actualization and site monitoring in construction, and civil engineering projects. One of the most popular methods is photogrammetry with Unmanned Aircraft Systems (UAS). This system gives us dense point clouds and models which are created from imagery. However, the collected data given has been perceived in the past to not give the greatest accuracy with respect to position. Due to the possibility of being given unreliable positioning there has been an increase in studies of the capabilities of UAS based mapping and computing. Therefore, this research study focuses on an accuracy assessment based on UAS derived point clouds. Our study area is located in Ontario, California, in particular, the Citizens Bank Arena parking lot. To verify the accuracy of the UAS derived point cloud, check points were used as verification, and were measured throughout the study area using a Global Navigation Satellite System (GNSS) Real-Time Kinematic survey results indicate that UAS derived point clouds provide sufficient accuracy that is necessary for most civil, and construction engineering projects.