Image-based 3D reconstruction using traditional and mobile-phone data-sets for road pavement distress analysis

The issue of road networks being in deplorable conditions is one that is widespread globally. One of the main precursors for this is that when preparing maintenance management systems, many road agencies rely on data which is often outdated or inaccurate. This is due in many cases to insufficient budgets which are unable to adequately address both maintenance and rehabilitation. It is therefore critical that road agencies have better tools at their disposal to help combat these issues. One of the possible techniques that have been identified is the use of structure from motion techniques to adequately identify road pavement distresses. This paper advances previous work in this area and expl…

A new approach to Road Pavement Management Systems by exploiting Data Analytics, Image Analysis and Deep Learning