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Trajectory Prediction of Assembly Alignment of Columnar Precast Concrete Members with Deep Learning
2019
Symmetry
During the construction of prefabricated building, there are some problems such as a time consuming, low-level of automation when precast concrete members are assembled and positioned. This paper presents vision-based intelligent assembly alignment guiding technology for columnar precast concrete members. We study the video images of assembly alignment of the hole at the bottom of the precast concrete members and the rebar on the ground. Our goal is to predict the trajectory of the moving
doi:10.3390/sym11050629
fatcat:nn632bxsjraghgaav2kpvspxt4