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DIGITIZING BRIDGES FOR INFORMED ASSET MANAGEMENT
Working with the Georgia Department of Transportation in the US I developed a model reconstruction and semantic enrichment engine that can digitize the 15,000 highway bridges for asset management in the state of Georgia. Working with Network Rail in the UK I developed a new structural inspection system using photogrammetry to replace the traditional, dangerous, inefficient, and non-informatic inspection approach for examining 30,000 ageing railway bridges. • Ma, L.*, Sacks, R., et al. (2018). “3D Object Classification Using Geometric Features and Pairwise Relationships.” Computer-Aided Civil and Infrastructure Engineering, 33(2). • Sacks, R., Kedar, A., Borrmann, A., Ma, L.*, et al. (2018). “SeeBridge as next generation bridge inspection: Overview, Information Delivery Manual and Model View Definition.” Automation in Construction, 90. • Sacks, R., Ma, L.*, et al. (2017). “Semantic Enrichment for Building Information Modeling: Procedure for Compiling Inference Rules and Operators for Complex Geometry.” Journal of Computing in Civil Engineering, 31(6), 04017062. • Ma, L., R. Sacks and U. Kattel (2017). Building Model Object Classification for Semantic Enrichment Using Geometric Features and Pairwise Spatial Relationships. Lean and Computing in Construction Congress - Volume 1: Proceedings of the Joint Conference on Computing in Construction. • Sacks, R., A. Kedar, A. Borrmann, L. Ma, D. Singer and U. Kattel (2016). SeeBridge information delivery manual (IDM) for next generation bridge inspection. ISARC 2016 - 33rd International Symposium on Automation and Robotics in Construction.
1 Researchers
  • The Bartlett School of Sustainable Construction
    extResource/image/01/LMAAX73
4 External Collaborators
  • Professor André Borrmann
    Technical University of Munich - Germany
  • Dr Ioannis Brilakis
    Cambridge University - United Kingdom
  • Professor Rafael Sacks
    Technion - Israel
  • Dr Patricio Vela
    Georgia Institute of Technology - United States
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