Video-Sensor Data Fusion for Enhanced Structural Monitoring

Details

• Creators:
  Lattanzi, David ; Ghyab, M
• Corporate Creators:
  Center for Integrated Asset Management for Multimodal Transportation Infrastructure Systems (CIAMTIS) (UTC) ; George Mason University
• Corporate Contributors:
  United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
• Subject/TRT Terms:
  • Sensors
  • Video cameras
  • Monitoring
  • Detection and identification systems
  • Data fusion video based monitoring
• Publication/ Report Number:
  CIAM-COR-R25
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Edition:
  Final Report
• Corporate Publisher:
  Center for Integrated Asset Management for Multimodal Transportation Infrastructure Systems (CIAMTIS) (UTC)
• Abstract:
  Engineers have used sensor arrays to monitor the behavior and condition of infrastructure systems for decades. These arrays are typically attached or embedded within a structure and provide localized measurements of a system’s response. While these sensors are highly accurate, they have well-known practical limitations. One drawback is that most sensors only provide optimal measurements near defects, locations that are difficult to know a priori 1–3 This is compounded by the fact that the costs and practicalities of sensor array maintenance limit the implementation of the widespread and dense sensor networks necessary to overcome this issue.
• Format:
  PDF
• Funding:
  69A3551847103
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/78190/dot_78190_DS1.pdf
• File Type:
  [PDF - 1.10 MB]
• Collection(s):
  University Transportation Centers
• Main Document Checksum:
  urn:sha-512:81d654c226523658dac6ed7fbf841af4e913a0e452cf48f710edf1917df4d894409ecac70ea9363edeedf5e04345bbcefb7eed5bcf4754c8c756dfbcb665e275