Image-based modeling (IBM) is a well-known
technique to obtain high quality 3D models based on multi view
images. IBM started being used in several applications such as
inspection, identification of objects and visualization, due to the
user-friendly approach, the low cost and highly automated
technique.
This paper focuses on the investigation of the potential
application of IBM in the diagnosis of road pavement distresses
and in particular rutting. Indeed, the evaluation of the rutting
distress is a fundamental step to define the whole state of a
pavement as demonstrated by the calculation of Present
Serviceability Index (PSI). Currently, the permanent
deformation is measured monitoring visually the rut depth with
the approximations that this procedure involves. Nevertheless,
the exact measure of the rut depth is necessary to evaluate
precisely the cause and the severity of this distress and be
effective in the maintenance and rehabilitation of the pavement
structure.
The objective of this study is to apply the IBM technique on a
laboratory rutted sample, in order to verify the accuracy of the
method in determining the rut depth. To achieve this, a
comparison has been made between the 3D model obtained with
IBM and the one obtained with blue led 3D scan (Artec Spider)
of the same rutted asphalt concrete. The metric accuracy of the
model is then defined and its validity is assessed, in terms of
distress diagnosis