Reality capture technologies have matured sufficiently
to be utilized for as-built data collection on construction
sites. These technologies can be leveraged to improve
project quality control processes. A formalism is needed to
utilize these technologies effectively and to analyze the
data collected from these instruments to enable active
quality control. Our formalism for using advanced sensor
systems and integrated project models for active quality
control includes five basic process steps: creating asplanned project model information, identifying inspection
goals, inspection planning, data collection, and defect
detection and management. Our utilization of the formalism on four construction sites suggests the generality of
the overall approach and its possible technical effectiveness in data collection and deviation detection. Future
research includes further refining the algorithms implemented in support of this formalism and incorporation of
other reality capture technologies to the automated quality
control framework. In addition, we hope to perform
detailed studies on assessing the cost effectiveness of the
formalism described in this paper.