Effects of Pre-scanning and Scanning Approaches on the Quality of Processed Laser Scanned Data: Lessons Learned

Abstract

Several tasks in the Architectural, Engineering, Construction and Facility Management (AEC&FM) domain require real-time geospatial information. Traditional measurement methods are widely being replaced by more advanced technologies. 3D laser scanners are increasingly being used for diverse tasks during the lifecycle of a facility. However, a variety of process, environmental, scanner and analysis related factors can affect the quality of laser scanned data. Error sources, particularly those inherent in early stages of the laser scanning process, have not been well-addressed. This paper focuses on the effects of such error sources on the quality of the raw/processed data. Lessons learned through the planning, laser scanning and data processing of a facility are shared. The dataset consists of a total of 68 scans from both indoor and outdoor environments collected through using two different types of scanners. The effects of pre-scan site visits and proactive planning on reducing the consequences of different error sources are illustrated through examples. Lessons learned emphasize the need for formalization of the planning stage of laser scanning process, and data collection approaches for the AEC&FM domain applications, to enhance the quality of the raw/processed data.