Current bridge inspections are completed mainly by using time-consuming, subjective field inspection methods and in some cases, expensive non-destructive testing. These inspections are often based on the personal experience and expertise of the inspector, which can vary widely. The results ofthis are ratings and assessments that are not always consistent. This paper discusses both the need and use of remote-sensing technologies in bridge damage detection and management. Three specific technologies are discussed: high-resolution aerial imagery, ground-based image collection and assessment, and LiDAR scanning. Remote sensing proves to be an effective tool for assessing the conditions of a bridge. Furthermore, the system discussed in this paper – Integrated Remote Sensing and Visualization (IRSV) System – provides a comprehensive procedure for producing standardized condition ratings which help to minimize subjective and possibly inconsistent inspection ratings. The research discussed in this paper was performed undera USDOT/RITA program that emphasizes the use of remote-sensing technologies for infrastructure assessment.
Abstract