Publication | Closed Access
The ASDMCon Project: The Challenge of Detecting Defects on Construction Sites
26
Citations
20
References
2006
Year
Unknown Venue
EngineeringSoftware Engineering3D ModelingVisualization EnvironmentComputer-aided Design3D Computer VisionReliability EngineeringImage AnalysisSystems EngineeringAutomation In ConstructionComputational GeometryFailure DetectionGeometric ModelingAsdmcon ProjectMachine VisionDetecting DefectsNondestructive TestingStructural Health MonitoringDefect DetectionAutomated InspectionComputer VisionConstruction TechnologyNatural SciencesConstruction SitesSoftware TestingCivil EngineeringSite InvestigationConstruction Management3D Scanning3D ReconstructionConstruction Engineering
Techniques for three dimensional (3D) imaging and analysis of as-built conditions of buildings are gaining acceptance in the architecture, engineering, and construction (AEC) community. Early detection of defects on construction sites is one domain where these techniques have the potential to revolutionize an industry, since construction defects can consume a significant portion of a project's budget. The ASDMCon project is developing methods to aid site managers in detecting and managing construction defects using 3D imaging and other advanced sensor technologies. This paper presents an overview of the project, its 4D visualization environment, and the 3D segmentation and recognition strategies that are being employed to automate defect detection.
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