Integrated remote sensing and visualization (IRSV) system for transportation infrastructure operations and management, phase two, volume 3 : advanced consideration in LiDAR technology for bridge evaluation.
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2012-03-01
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Abstract:This report describes Phase Two enhancement of terrestrial LiDAR scanning for bridge damage
evaluation that was initially developed in Phase One. Considering the spatial and reflectivity
information contained in LiDAR scans, two detection algorithms were developed to document
the extent of bridge surface damage. The first algorithm introduced in this report is based on
spatial information. This algorithm can detect various damages on a bridge structure according to
the extent of surface damage. Because some damage may involve deep area losses that are not
along the laser line-of-sight (LOS), an experiment is conducted to find out the best location to set
up a LiDAR. The two damage detection algorithms are presented and compared with scans on
actual bridge damages to evaluate their effectiveness.
A further study estimated the potential of including reflectivity data to improve defect detection.
The addition of reflectivity in damage diagnostics was determined to be useful for defect
detection of curved surfaces. The study shows that the reflectivity of LiDAR scan could be used
to support the automatic defect detection in bridge inspection by combining it with the current
position-based algorithms.
A total of 88 bridges were studied during the two-year project period. Bridge scan data were
analyzed using a spatial-based damage detection algorithm, which shows that the LiDAR
application is a useful supplement to traditional visual inspection. Possible improvements in the
future research could be achieved by optimizing existing algorithms.
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