| contributor author | Park, Sangyoon | |
| contributor author | Ju, Sungha | |
| contributor author | Hong, Jiwan | |
| contributor author | Heo, Joon | |
| date accessioned | 2026-08-20T21:27:43Z | |
| date available | 2026-08-20T21:27:43Z | |
| date copyright | 2026/02/24 | |
| date issued | 2026 | |
| identifier other | JCCEE5.CPENG-7153.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4314492 | |
| description abstract | AbstractDeep learning-based point cloud semantic segmentation methods require extensive labeled
datasets, which involve a tedious manual labeling process. Although synthetic-based
approaches have been developed to reduce labeling cost, they must be ... | |
| publisher | American Society of Civil Engineers | |
| title | Automated and Fast Point Cloud Labeling Method for Training Data Augmentation Using Scan-versus-BIM Approach | |
| type | Journal Article | |
| journal volume | 40 | |
| journal issue | 3 | |
| journal title | Journal of Computing in Civil Engineering | |
| identifier doi | 10.1061/JCCEE5.CPENG-7153 | |
| journal fristpage | 04026026-1 | |
| journal lastpage | 04026026-19 | |
| page | 19 | |
| tree | Journal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 003 | |
| contenttype | Fulltext | |
