As-built error modeling for effective 3D laser scanning on construction sites

摘要: Construction engineers increasingly use 3D laser scanners on job sites to capture detailed as-built geometries for construction monitoring, while their data collection time and quality can vary significantly. Various parameters influence the of collection. These include internal (e.g., signal strength, spatial resolution used scanner) external color, object dimension, distance, lighting condition). Correlations among these parameters, time, modeling errors, contain principles efficient effective scan planning. Limited quantitative studies correlations result in ad-hoc planning, missing geometric information, unnecessarily long time. This paper presents a series controlled experiments seven statistical methods quantitatively between errors various mentioned above. The major findings include: 1) need be resolved precise error prediction; 2) all tested are based linear regression, non-Gaussian distribution nonlinear experimental results distort parametric models. Future research will explore or non-parametric obtaining more reliable models proactively guiding conduct scanning field.