A model for data fusion in civil engineering

Authors:
Carl Haas
Affiliations:
Professor, Canada Research Chair in Sustainable Infrastructure, and Director of Centre for Pavement and Transportation Technology Department of Civil Engineering, University of Waterloo, Waterloo, ...
Venue:
EG-ICE'06 Proceedings of the 13th international conference on Intelligent Computing in Engineering and Architecture
Year:
2006

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Abstract

Thoroughly, reliably, accurately and quickly estimating the state of civil engineering systems such as traffic networks, structural systems, and construction projects is becoming increasingly feasible via ubiquitous sensor networks and communication systems. By better and more quickly estimating the state of a system we can make better decisions faster. This has tremendous value and broad impact. A key function in system state estimation is data fusion. A model for data fusion is adapted here for civil engineering systems from existing models. Applications and future research needs are identified.