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.

Details

• Creators:
  Chen, Shen-En ; Bian, Haitao ; Bai, Libin ; Hauser, Edd
• Corporate Creators:
  University of North Carolina at Charlotte. Transportation Policy Studies
• Corporate Contributors:
  United States. Dept. of Transportation. Research and Innovative Technology Administration
• Subject/TRT Terms:
  • Bridge management systems
  • Remote sensing
  • Inspection
  • Condition surveys
  • Laser radar
  • Structural analysis
  • Visualization
  • Structural health monitoring
  • Algorithms
• Publication/ Report Number:
  USDOT/RITA DT0S59-07-H-005
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Corporate Publisher:
  University of North Carolina at Charlotte. Transportation Policy Studies
• 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.
  More +
• Format:
  PDF
• Funding:
  DT0S59-09-H-0007
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/28730/dot_28730_DS1.pdf
• File Type:
  [PDF - 24.81 MB]
• Collection(s):
  University Transportation Centers ; US Transportation Collection
• Main Document Checksum:
  urn:sha256:2735e78bd7d075a1294523d0647da86aba0917339bf9f57d15fcf6dd9cabb8e5