Significance Study of Points and Line Constraints Adjustment for Static LIDAR Self-Calibration

Ensuring high-quality 3D data from terrestrial laser scanners (TLSs) requires meticulous calibration. While the current implementation of TLS point-based self-calibration often relies on precision-based methods without reference points, this study introduces accuracy-based approaches to TLS self-calibration. Using point-based and line-based constraints with reference points established via close-range photogrammetry (CRP), statistical analyses reveal that the line-based method significantly enhances accuracy by up to 60%, outperforming the point-based approach, which shows notable deviations. The evaluation focused on calibration parameters (CPs), standard deviation, residuals, and correlation coefficient. This study underscores the potential of accuracy-based approaches in enhancing TLS self-calibration, particularly using line-based constraints.