In recent years, much progress has been made in the construction sector through the use of automation and information technology. Due to an increasing demand for 3D modeling of spatial information, a variety of techniques have been developed. In addition, point cloud data generation technology using laser scanners and PhotoScan is attracting attention as a means of creating 3D model data on construction sites. In this paper, 3D point cloud data to be used in earthwork projects is generated using a hybrid scanning method (a laser scanner and UAV aerial photograph data are used in combination), while verifying the usability of the 3D point cloud data by merging the generated data. The objective of this study is to present a hybrid scanning method for the 3D modeling of earthwork in construction operations. Utilizing the hybrid scanning method proposed in this paper, it is possible to quickly and accurately process 3D mapping of atypical ground shapes that continually change according to the construction situation. This study is expected to be used as fundamental research in the Intelligent Task Planning System, which can extract the amount of progress in earthwork projects.
Kwon, S., Park, J. W., Moon, D., Jung, S., & Park, H. (2017). Smart Merging Method for Hybrid Point Cloud Data using UAV and LIDAR in Earthwork Construction. In Procedia Engineering (Vol. 196, pp. 21–28). Elsevier Ltd. https://doi.org/10.1016/j.proeng.2017.07.168