| Title |
Development of Registration Post-Processing Technology to Homogenize the Density of the Scan Data of Earthwork Sites |
| Authors |
김용건(Kim, Yonggun) ; 박수열(Park, Suyeul) ; 김석(Kim, Seok) |
| DOI |
https://doi.org/10.12652/Ksce.2022.42.5.0689 |
| Keywords |
3차원 디지털 지형 모델; 지형 스캔데이터; 토공현장; 정합; 후처리 기술 |
| Abstract |
Recently, high productivity capabilities have been improved due to the application of advanced technologies in various industries, but in the construction industry, productivity improvements have been relatively low. Research on advanced technology for the construction industry is being conducted quickly to overcome the current low productivity. Among advanced technologies, 3D scantechnology is widely used for creating 3D digital terrain models at construction sites. In particular, the 3D digital terrain model provides basic data for construction automation processes, such as earthwork machine guidance and control. The quality of the 3D digital terrain model has a lot of influence not only on the performance and acquisition environment of the 3D scanner, but also on the denoising, registration and merging process, which is a preprocessing process for creating a 3D digital terrain model after acquiring terrain scan data. Therefore, it is necessary to improve the terrain scan data processing performance. This study seeks to solve the problem of density inhomogeneity in terrain scan data that arises during the pre-processing step. The study suggests a ‘pixel-based point cloud comparison algorithm’ and verifies the performance of the algorithm using terrain scan data obtained at an actual earthwork site |