Evaluation of Selected 3D Data Acquisition Systems for Capturing the Geometry of Building Structures

Accurate 3D data from indoor environments are highly important for various applications in construction, indoor navigation, and real estate management.Mobile scanning systems (simultaneous localization and mapping (SLAM), mobile devices with LIDAR) and modern systems, such as Matterport offer an efficient way to produce virtual models of the measured objects (or even generate point clouds).Still, the quality of these methods tends to be lower than the quality of the measurements performed by terrestrial laser scanning (TLS).In this paper, three distinct scanning systems are compared and evaluated.The tested techniques are the Matterport-generated virtual models using 360 photos, the Matterport PRO3 LIDAR camera and point clouds from the SLAM handheld scanner GeoSLAM ZebGO.The evaluation is done against the survey-grade TLS point clouds captured from four test sites with different properties (e.g., size, complexity, etc.).The selected test scenes are indoor environments, including a hallway, an office, a measurement laboratory, and a lecture hall.Their strengths and weaknesses, from both technical and practical perspectives are shown, which can assist in selecting the most appropriate system for different applications.