Testing the Accuracy of Building Structure 3D Model from Point Clouds Data

Abstract

Nowadays, the use of unmanned aerial vehicles in engineering is more popular, especially the use of unmanned aerial vehicles to take pictures to create 3D models. For structural work, 3D models can be used to estimate construction costs. Structural Stability Analysis Editing or changing the structure, for example, necessitates an accurate and close-to-reality model. Therefore, this research was to test the validity of the building structure 3D Model generated by the point clouds data obtained from unmanned aerial vehicle image data processing. By specifying the characteristics of the building structure in two forms are ancient structures and reinforced concrete building structures, and require that the photographs' horizontal and vertical positional accuracy be no more than 6 cm, and draw the structure based on the size of the image spots. The accuracy of the building structure 3D Model was then verified by comparing the dimensions of the actual structure. The result of testing the model of the ancient structure found that there was a discrepancy between the horizontal and vertical dimensions, which were 1.8 cm and 2.4 cm, respectively. As for the test results of the reinforced concrete structure model, the mean horizontal and vertical deviations were 2.5 centimeters.