Integrated remote sensing and visualization (IRSV) system for transportation infrastructure operations and management, phase one, volume 5 : automated management bridge information system.
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2009-12-01
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Abstract:This volume focuses on one of the key components of the IRSV system, i.e., the AMBIS module. This module serves as one of ; the tools used in this study to translate raw remote sensing data – in the form of either high-resolution aerial photos or video from ; a ground-based mobile data collection system – into indices that help to quantify the performance state of a bridge. Two major ; performance conditions are analyzed: the condition of bridge deck surfaces and the amount of separation between bridge deck ; spans. Both of these performance measures can identify conditions that could adversely affect the performance of a bridge. And ; both conditions, if not mitigated, could become worse with time. Although developed as a separate module, the plan in Phase II ; is to fully integrate AMBIS into the IRSV system. The results presented in this volume represent our “proof-of-concept” that ; remotely-sensed data can indeed be used to identify potential distress conditions for bridges. While further research is ; recommended to help refine the distress state rating procedures outlined in this volume, we feel that the results are compelling ; enough to warrant their incorporation into the IRSV system as representative indicators of bridge performance.
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Main Document Checksum:urn:sha256:beb491778666ce34d533aed5bff3961ad754c435c255aece382371d394711a5d