| Title |
Evaluation of Scan-to-BIM Quality for Stairwells Using a Mobile Laser Scanner |
| Authors |
Chan-Sol Choi ; Min-Koo Kim |
| DOI |
https://dx.doi.org/10.6106/KJCEM.2026.27.3.026 |
| Keywords |
Mobile Laser Scanner (MLS); Stairwell Scanning; Scan-to-BIM; Construction Quality Assessment |
| Abstract |
As digital transformation accelerates in the construction industry, Scan-to-BIM technology has emerged as a key component for construction quality verification and facility maintenance. While terrestrial laser scanners (TLS) offer high precision, their long acquisition times and limited portability constrain field applicability. This study aims to address these limitations by utilizing a mobile laser scanner (MLS) capable of rapid data acquisition, and to quantitatively evaluate the Scan-to-BIM accuracy of staircase point clouds captured with MLS. The performance was compared against TLS data to assess the feasibility of MLS for practical site applications. MLS and TLS scans were conducted on an actual building staircase, and BIM models were generated from the acquired data. Quantitative analyses were performed on point density, stair width, riser height, and other key dimensional attributes. Results indicate that although MLS data acquired at low speed (0.3m/s) did not satisfy the point density criteria with an average point spacing of 4.21㎜ the average dimensional error was 4.57㎜, meeting the geometric accuracy required for LOD Level 4. To improve point density, the PU-GAN point cloud upsampling algorithm was applied, reducing the average point spacing from 4.21㎜ to 2.11㎜. In conclusion, the mobile laser scanner demonstrated its potential as a practical alternative by providing rapid data acquisition and sufficient geometric accuracy. This study contributes to validating the field applicability of MLS-based Scan-to-BIM workflows and highlights its value as an effective method for construction quality assessment. |