A procedure for automating earthwork computations using UAV photogrammetry and open-source software

Argese, Francesco; Erriquez, G.; Galeandro, A.; Giraldo, M. S.; Imperiale, M. G.; Scarano, M.; Specchiarello, A. R.; Tarantino, Eufemia; Turso, Adriano

doi:10.1063/1.5114291

Cited by 2 publications

(2 citation statements)

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“…Consequently, DEM resolution of UAV-based method was found to be higher than that of NRTK-GNSS method. Argese et al (2019) demonstrated the possibility of adopting average end area volume estimation method and new pythonbased algorithm as a procedure to automate earthwork volume computation using UAV approach and open source software. Two surveys were conducted at different epochs over a little stretch of about 300 m of 'Superstrada pedemontana veneta' roadwork site situated in northern Italy.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Data obtained by GNSS method were converted to Receiver Independent Exchange (RINEX) format for easy processing in RT-Klib. Argese et al (2019) stressed that in a construction site, all the measurements made should be referred to a local reference frame. Therefore, GNSS positions were transformed using Helmert transformation model to local reference frame using benchmarks of known global and local reference frame, from global absolute reference frame (WGS84) to local reference frame using a developed software module.…”

Section: Literature Reviewmentioning

confidence: 99%

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Development of a UAV-based system for the semi-automatic estimation of the volume of earthworks

Ajayi

Oyeboade

Samaila-Ija

et al. 2020

Reports on Geodesy and Geoinformatics

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One of the challenges faced by surveyors in acquisition of accurate spatial data for mining applications is the risk involved in acquiring data in rugged terrains and difficult or inaccessible areas. With the advent of modern technology, accurate geospatial data can now be safely obtained for proper mining documentation periodically. The use of Unmanned Aerial Vehicles (UAVs) for data acquisition in mine surveying has been a viable means of obtaining reliable geospatial data rapidly and efficiently. The main goal of this study is to develop a semi-automatic UAV-based system for the acquisition of spatial data required for the estimation of the volume of earthworks. A DJI Phantom 4 quadcopter was used for the acquisition of image data of the project site, while the images were processed into a Digital Elevation Model (DEM) using Pix4Dmapper v2.0.1, which was then imported into the MATLAB-based system developed for the automatic estimation of the volume of earthworks. The volume obtained from the automated system was thus compared with the volume obtained directly from the Pix4Dmapper software, having specified a contour interval of 1 and an allowable error rate of ±3% as the standard error. While ±1.02% error was observed in the volume estimated using the Pix4Dmapper, the developed automated system yielded an estimated precision of ±0.81% in its volume estimation, which proves to be more robust for automatic volume estimation in terms of accuracy and precision.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Development of a UAV-based system for the semi-automatic estimation of the volume of earthworks

Ajayi

Oyeboade

Samaila-Ija

et al. 2020

Reports on Geodesy and Geoinformatics

View full text Add to dashboard Cite

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Parallel Development of Comparable Photogrammetric Workflows Based on UAV Data Inside SW Platforms

Saponaro

Turso²,

Tarantino

2020

Computational Science and Its Applications – ICCSA 2020

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A wide range of industrial applications benefits from the accessibility of image-based techniques for three-dimensional modelling of different multi-scale objects. In the last decade, along with the technological progress mainly achieved with the use of Unmanned Aerial Vehicles (UAVs), there has been an exponential growth of software platforms enabled to return photogrammetric products. On the other hand, the different levels of final product accuracy resulting from the adoption of different processing approaches in various softwares have not yet been fully understood. To date, there is no validation analysis in literature focusing on the comparability of such products, not even in relation to the use of workflows commonly allowed inside various software platforms. The lack of detailed information about the algorithms implemented in the licensed platforms makes the whole interpretation even more complex. This work therefore aims to provide a comparative evaluation of three photogrammetric softwares commonly used in the industrial field, in order to obtain coherent, if not exactly congruent results. After structuring the overall processing workflow, the processing pipelines were accurately parameterized to make them comparable in both licensed and open-source softwares. For the best interpretation of the results derived from the generation of point clouds processed by the same image dataset, the obtainable values of root-mean-square error (RMSE) were analyzed, georeferencing models as the number of GCPs varied. The tests carried out aimed at investigating the elements shared by the platforms tested, with the purpose of supporting future studies to define a unique index for the accuracy of final products.

show abstract

A procedure for automating earthwork computations using UAV photogrammetry and open-source software

Cited by 2 publications

References 10 publications

Development of a UAV-based system for the semi-automatic estimation of the volume of earthworks

Development of a UAV-based system for the semi-automatic estimation of the volume of earthworks

Parallel Development of Comparable Photogrammetric Workflows Based on UAV Data Inside SW Platforms

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