Commercial remote sensing (CRS) as robust bridge health monitoring techniques offer unique features that are missing from current embedded structural health monitoring systems, including ability to geo-reference bridge location, provide spatial views and high-resolution top views of bridges. Beginning in 2007, a research partnership (University of North Carolina at Charlotte, ImageCat Inc., Boyle Consulting, Charlotte DOT and North Carolina DOT) has completed a proof-of-concept project to develop ground-based LiDAR scan and sub-inch-resolution aerial photography into the IRSV (Integrated Remote Sensing and Visualization) bridge data diagnostic system. The IRSV system represents a critical juncture towards "Total View Total Integration (TVTI)" infrastructure monitoring concept and provides further incentive for CRS development. This paper presents a high-level discussion on the potentials of CRS tools to enhance bridge inspection and data management.
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