Kano Laboratory, Waseda University, Obayashi Corporation
Automated Recognition of Work Progress at a Construction Site – (Tokyo, Japan)
Image courtesy of Kano Laboratory, Waseda University, Obayashi Corporation
The traditional methods of detailing the progress of construction projects are subjective by nature and susceptible to human error. The Kano laboratory in Tokyo's Waseda University and OBAYASHI corporation have been working to overcome this problem by developing an objective method for monitoring construction progress. Three-dimensional laser scanning and photogrammetry have provided the technological tools to accomplish this goal successfully. The research team used ContextCapture to create 3D models using multiple extractions of point-cloud data from a time series of digital imagery. By comparing point-cloud data with a 3D CAD model generated with MicroStation, work progress is measured by identifying components installed during construction. The ability to determine work progress enables continuous evaluation of labor productivity and possible construction delays. The research team used ContextCapture to create 3D models using multiple extractions of point-cloud data from a time series of digital imagery. By comparing point-cloud data with a 3D CAD model generated with MicroStation, work progress is measured by identifying components installed during construction. The ability to determine work progress enables continuous evaluation of labor productivity and possible construction delays.
Kano Laboratory, Waseda University, Obayashi Corporation
Automated Recognition of Work Progress at a Construction Site – (Tokyo, Japan)
Image courtesy of Kano Laboratory, Waseda University, Obayashi Corporation
The traditional methods of detailing the progress of construction projects are subjective by nature and susceptible to human error. The Kano laboratory in Tokyo's Waseda University and OBAYASHI corporation have been working to overcome this problem by developing an objective method for monitoring construction progress. Three-dimensional laser scanning and photogrammetry have provided the technological tools to accomplish this goal successfully. The research team used ContextCapture to create 3D models using multiple extractions of point-cloud data from a time series of digital imagery. By comparing point-cloud data with a 3D CAD model generated with MicroStation, work progress is measured by identifying components installed during construction. The ability to determine work progress enables continuous evaluation of labor productivity and possible construction delays. The research team used ContextCapture to create 3D models using multiple extractions of point-cloud data from a time series of digital imagery. By comparing point-cloud data with a 3D CAD model generated with MicroStation, work progress is measured by identifying components installed during construction. The ability to determine work progress enables continuous evaluation of labor productivity and possible construction delays.