Engineering Commons^™

Impact Of Image Resolution On Pavement Distress Detection Using Picucha Methodology, Reus Salini, Bugao Xu, Mena I. Souliman

Civil Engineering Faculty Publications and Presentations

An accurate and regular survey of the road surface distresses is a key factor for pavement rehabilitation design and management, allowing public managers to maximize the value of the continuously limited budgets for road improvements and maintenance. Manual pavement distress surveys are labor-intensive, expensive and unsafe for highly-trafficked highways. Over the years, automated surveys using various hardware devices have been developed and improved for pavement field data collection to solve the problems associated with manual surveys. However, the reliable distress detection software and the data analysis remain challenging. This study focused on the analysis of a newly-developed pavement distress classification …