Geometric Accuracy of 3D Reality Mesh Utilization for BIM-Based Earthwork Quantity Estimation Workflows

Paulius Kavaliauskas,Daumantas Židanavičius,Andrius Jurelionis

doi:10.3390/ijgi10060399

Paulius Kavaliauskas, Daumantas Židanavičius + Show 1 more

Open Access

https://doi.org/10.3390/ijgi10060399

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Abstract

Current surveying techniques are typically applied to survey the as-is condition of buildings, brownfield sites and infrastructure prior to design. However, within the past decade, these techniques evolved significantly, and their applications can be enhanced by adopting unmanned aerial vehicles (UAVs) for data acquisition, up-to-date software for creating 3D reality mesh, which in turn opens new possibilities for much more efficient construction site surveying and constant updating and process management. In this study the workflows of three UAV-based photogrammetry techniques: Real Time Kinematic (RTK), Post-Processing Kinematic (PPK) and Global Positioning System (GPS) based on control points were analyzed, described, and compared to conventional surveying method with Global Navigation Satellite System (GNSS) receiver. Tests were performed under realistic conditions in 36 ha quarry in Lithuania. The results of the relationship between ground sample distance (GSD) and the comparison of volume measurements under each technique, including conventional method were analyzed. The deviation of data collected on field vs. generated in reality mesh, including ground control points (GCPs) and check points (CHPs) with different configurations, was investigated. The research provides observations on each workflow in the terms of efficiency and reliability for earthwork quantity estimations and explains processing schemes with advanced commercial software tools.

Highlights

In the world of engineering and surveying, various techniques are used to collect data, including laser scans [1,2], photogrammetry [3,4], total stations [5] and other techniques
Point clouds and reality meshes obtained from laser scanning and photogrammetry techniques helped to advance various approaches of processing data from sites, such as automatic building information model (BIM) component extraction and classification [10,11], monitoring of building zones [12], archaeological decision making [13], heritage and landscape applications [14,15], construction and earthwork estimation approaches [16,17,18,19,20], and many more
The focus of this study is on BIM-based earthworks quantities estimation and the assessment of accuracy obtained by different Unmanned Aerial Vehicles (UAVs)-based photogrammetry techniques

Summary

Introduction

In the world of engineering and surveying, various techniques are used to collect data, including laser scans [1,2], photogrammetry [3,4], total stations [5] and other techniques. Modern applications have become much more efficient, and the applications of Unmanned Aerial Vehicles (UAVs) helps to efficiently collect data representing various stages of construction sites [7,8,9], it requires a lot of computing power to process the collected data These technologies are still not widely recognized by professionals who are more confident in conventional survey methods, these conventional methods are more time-consuming and still are prone to inaccuracies if used for earth quantities calculations. Point clouds and reality meshes obtained from laser scanning and photogrammetry techniques helped to advance various approaches of processing data from sites, such as automatic building information model (BIM) component extraction and classification [10,11], monitoring of building zones [12], archaeological decision making [13], heritage and landscape applications [14,15], construction and earthwork estimation approaches [16,17,18,19,20], and many more.

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