A 3D geometry adaptive approach for fusing heterogeneous point clouds in construction sites

Key Points

• Improved data fusion enhances the accuracy of 3D models in construction sites, leading to better project outcomes.
• The study demonstrates how adaptive algorithms increase processing efficiency and quality in point cloud data.
• Analysis focused on heterogeneous point clouds collected from various construction site scenarios, improving integration of data sources.
• This method supports future developments in automated monitoring systems for construction, highlighting the potential for widespread application.