Human-Assisted 3D Spatial Modeling of Construction Sites Using Sparse Range-Point Clouds

Abstract

3D spatial-modeling can be used in various safety-enhancement applications and for as-built data acquisition in project-control systems. The objective of the research reported herein was to provide spatialmodeling methods that represent construction sites in an efficient manner and to validate the proposed methods by testing them in an actual construction environment. Algorithms to construct construction-site scenes and to carry out coordinate transformations in order to merge data from different acquisition locations are presented. Field experiments were conducted to establish performance parameters and validation for the proposed methods and models. Initial experimental work has demonstrated the feasibility of this approach.

Toward automated generation of parametric BIMs based on hybrid video and laser scanning data

“…The quality of the surfaces generated by this method is relatively high. The generated surfaces are precise and detailed enough to be used in fine modelling applications such as elevation spatial modelling of soil and obstacle tracking, according to Hashash et al [11] and Kim et al [12], respectively. However, Kim et al [12] and Caldas et al [13] asserted that these methods can take many hours or even days to model a structure.…”

“…The generated surfaces are precise and detailed enough to be used in fine modelling applications such as elevation spatial modelling of soil and obstacle tracking, according to Hashash et al [11] and Kim et al [12], respectively. However, Kim et al [12] and Caldas et al [13] asserted that these methods can take many hours or even days to model a structure. Photogrammetry on the other hand is a technique that uses visual data such as photographs, imagery, video/CCD cameras and radiation sensors/scanners to measure objects in 2D or 3D, according to Mikhail et al [14].…”