Accuracy Comparison Between Image-based 3D Reconstruction Technique and Terrestrial LiDAR for As-built BIM of Outdoor Structures

Abstract

With the increasing demands of 3D spatial information in urban environment, the importance of point clouds generation techniques have been increased. In particular, for as-built BIM, the point clouds with the high accuracy and density is required to describe the detail information of building components. Since the terrestrial LiDAR has high performance in terms of accuracy and point density, it has been widely used for asbuilt 3D modelling. However, the high cost of devices is obstacle for general uses, and the image-based 3D reconstruction technique is being a new attraction as an alternative solution. This paper compares the imagebased 3D reconstruction technique and the terrestrial LiDAR in point of establishing the as-built BIM of outdoor structures. The point clouds generated from the image-based 3D reconstruction technique could roughly present the 3D shape of a building, but could not precisely express detail information, such as windows, doors and a roof of building. There were 13.2~28.9 cm of RMSE between the terrestrial LiDAR scanning data and the point clouds, which generated from smartphone and DSLR camera images. In conclusion, the results demonstrate that the image-based 3D reconstruction can be used in drawing building footprint and wireframe, and the terrestrial LiDAR is suitable for detail 3D outdoor modeling. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http:// creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Investigating the barriers to laser scanning implementation in building refurbishment

“…Even though photogrammetry has several advantages compared to laser scanning, including high-quality imagery and colour information (Dore and Murphy, 2017), there are also multiple challenges related to this technique. The main difficulties include a time-consuming computational data process (Dore and Murphy, 2017;Fassi et al, 2013;Ulvi, 2021), less accurate and dense point clouds than a laser scanner can provide (Altman et al, 2017;Golparvar-Fard et al, 2011;Lee et al, 2015;Mellado et al, 2020;Ulvi, 2021), and the requirement of proper lighting (Rocha et al, 2020). For overriding the challenge of a laborious data process, photogrammetric techniques are evolving towards automatic post processing (Aicardi et al, 2018;Dore and Murphy, 2017).…”

“…Currently, terrestrial LS is one of the most common methods for gathering as-built data of existing buildings (Becker et al, 2019;Dore and Murphy, 2017;Suchocki, 2020) due to the high accuracy and point density that the technique provides (Abdul Shukor et al, 2015;Alomari et al, 2016;Cheng et al, 2015;Han, 2012;Hong et al, 2015;Lee et al, 2015;Sepasgozar et al, 2015;Shanbari et al, 2016;Volk et al, 2014). A terrestrial laser scanner captures the geometry and textual information of an existing building by automatically recording millions of 3D points (Dore and Murphy, 2017;Rocha et al, 2020).…”