Remote Sensing for Bridge Monitoring

Autor: Haitao Bian, Kaoshan Dai, Shen-En Chen, Wanqiu Liu, Edd Hauser
Rok vydání: 2011
Předmět:
Zdroj: Condition, Reliability, and Resilience Assessment of Tunnels and Bridges.
Popis: Commercial remote sensing (CRS) as robust bridge health monitoring techniques offer unique features that are missing from current embedded structural health monitoring systems, including the 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 Incorporated, Boyle Consulting, Charlotte Department of Transportation and North Carolina Department of Transportation) 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.
Databáze: OpenAIRE