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Abstract
Much of the bridge stock on major transport links in North America and Europe was constructed in the
1950s and 1960s and has since deteriorated or is carrying loads far in excess of the original design loads.
Structural Health Monitoring Systems (SHM) can provide valuable information on the bridge capacity but
the application of such systems is currently limited by access and bridge type. This paper investigates the
use of computer vision systems for SHM. A series of field tests have been carried out to test the accuracy
of displacement measurements using contactless methods. A video image of each test was processed using
a modified version of the optical flow tracking method to track displacement. These results have been validated
with an established measurement method using linear variable differential transformers (LVDTs). The
results obtained from the algorithm provided an accurate comparison with the validation measurements. The
calculated displacements agree within 2% of the verified LVDT measurements, a number of post processing
methods were then applied to attempt to reduce this error.
Original language | English |
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Number of pages | 7 |
Publication status | Published - 25 Aug 2016 |
Event | 18th Irish Machine Vision and Image Processing Conference 2016 - NUIG , Galway, United Kingdom Duration: 24 Aug 2016 → 26 Aug 2016 |
Conference
Conference | 18th Irish Machine Vision and Image Processing Conference 2016 |
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Abbreviated title | IMVIP |
Country/Territory | United Kingdom |
City | Galway |
Period | 24/08/2016 → 26/08/2016 |
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Dive into the research topics of 'Field investigation of contactless displacement measurement using computer vision systems for civil engineering applications'. Together they form a unique fingerprint.Activities
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18th Irish Machine Vision and Image Processing Conference 2016
Lydon, D. (Speaker)
24 Aug 2016Activity: Participating in or organising an event types › Participation in conference