A Hybrid Method of Smart Scanning and Terrestrial Laser Scanner (SSaTLS): Improving the Accuracy of the Measurement Method

Abstract

This research aims to evaluate and enhance the accuracy and processing time of image processing methods through Laser Scanning. Additionally, it explains the limitations of 3D scanning and rendering. The research focuses on enhancing the accuracy of rendering images and reducing processing time. This is achieved, firstly, through a review of relevant literature dealing with creating methods which will optimize the structure of the captured object by changing a mesh object to a point cloud. This is designed to support construction sites, indoor and outdoor, by increasing both the speed of the 3D model rendering and the outcome in terms of precision. Based on these findings, a faster and more secure construction environment can be produced. During the research process, the main finding concerns 3D Scanning and Printing since these processes need to lead to higher accuracy and acceptable processing times. The 3D object can be generated from Smart Scanning to form point clouds which constitute the first look of that object. This goal was reached since this method can reduce the processing time while maintaining higher level of accuracy. The hybrid solution contributes a more stabilized visualization in Laser Scanning, not only for indoor lab experiments, but also for outdoor field tests. The flexibility added by the algorithm plus the range of technical support allow the Laser Scanners to produce high quality visualizations in all fields.