3d Data Registration Evaluation of Indoor Laser Scanner Based on Various Techniques

Abstract

In recent years, there has been a notable growth in the recording and modeling of building processes due to the advent of construction information modeling (BIM). A BIM promotes better information exchange and encourages teamwork. The best way to swiftly gather buildings for BIM geometry is with laser scanning technology as opposed to the traditional measured method with a total station. The point cloud generated by laser scanners is heavily utilized by the BIM applications Autodesk Revit and Recaps. In this experiment, A 1350 square meter building at October University was scanned using a BLK 360 interior laser scanner to produce a 3D point cloud. The entire scanned area had 26 4inch-diameter black and white circular targets. Leica Cyclone 7.3 was utilized throughout the procedure to process the data collected. Different registration methods were used to create 3D models. (1) Auto Targets registration -(2) Cloud-to-cloud registration and (3) Manual registration. For each case, the accuracy evaluation is done using the control points by the total station instrument. Based on the results, the horizontal and vertical accuracy of the point cloud model from the registration methods were reasonably comparable.