Abstract:
The accuracy of computer vision-based progress monitoring of construction projects
depends on the quality of data acquired. The data acquisition can be conducted through
different vision-based sensors combined with several options for sensor mounting.
Several factors affect this combination and considering these factors in selecting the
acquisition technology and sensor mounting combination is critical for acquiring
accurate vision-based data for the project. Currently, their definition and impact of these
factors on the selection of these technologies are both subjective, and there are no formal
studies to evaluate the impact. Hence, in this study, we first identify and define twelve
key factors affecting data acquisition technology and eight factors affecting sensor
mounting. Next, a questionnaire survey was designed, and responses from professionals
were used to evaluate the Relative Importance Index (RII) for the individual factors for
these technologies and methods. The obtained ratings were compared to the author's
initial assessment, and the cause for a few variations obtained was justified. This study
provides a clear assessment of these factors and forms a basis for selection based on the
factors involved with the project requirements.
