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.

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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.