A STUDY OF IMAGE PROCESSING TECHNIQUE BY USING AN UNMANNED AERIAL VEHICLE FOR WEARING SURFACE ASSESSMENT

Abstract

Bridges are one of significant infrastructures in transportation network. Its structural integrity must be regularly inspected and monitored. Visual inspection plays an important role in providing safe bridges as they continue to age and deteriorate. An accurate and thorough assessment of bridge’s condition is crucial. To assess the inspection field and gather information information of the bridge structural physical condition, some of traffic lanes must be temporary closed for safety of inspectors during inspection which require a length of time that may affect traffic congestion conditions. This study presents a technique for inspecting the wearing surface damage of reinforced concrete bridges by using an Unmanned Aerial Vehicle (UAV, Drone) to capture damaged photos. Image processing techniques are introduced to analyze the damaged areas. The damaged area detection and quantifying area of the damage techniques are presented.