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Construction Information Technology Laboratory

 

Past Project

Bridge Strike

June 2013 – December 2013

London Underground, London, UK & Centre for Smart Infrastructure & Construction (CUED) Grant #59570, PI: Ioannis Brilakis, £25,200

This project aims were to provide early, reliable warning and notification of bridge strikes using digital video and accelerometers. The system will use digital video and advanced computer vision algorithms to attempt to determine the height of approaching vehicles using a single camera. The accelerometers will be used to determine whether or not over-height approaching vehicles actually hit the bridge, and could provide an indication of a bridge strike to London Underground. If the system could be shown to reliably generate a warning in advance of an impending bridge strike there is the potential to save bridge owners and haulage companies (or their insurers) large sums of money by preventing bridge strikes from occurring in the first place. The project was funded by Transport for London (TfL) and Cambridge Centre for Smart Infrastructure and Construction (CSIC).

Leading researcher: Bella Nguyen
 

Latest news

PhD studentships advertised as part of the Cloud-based Building Information Modelling (CBIM) training network

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The following PhD studentships are available at the University of Cambridge on the European Commission-funded, Marie Sklodowska-Curie "CBIM" European...

Infrastructure Computer Vision – Book available for pre-order

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Pre-order the soon-to-be-released Infrastructure Computer Vision to explore advanced information and sensing technologies, and how to apply them to individual projects.