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Trajectory Prediction of Assembly Alignment of Columnar Precast Concrete Members with Deep Learning

Zhang, Tong, Shi
2019 Symmetry  
This paper presents vision-based intelligent assembly alignment guiding technology for columnar precast concrete members.  ...  The experimental results show that, this framework is better than the existing methods in accuracy and robustness at the prediction of assembly alignment motion trajectory of columnar precast concrete  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/sym11050629 fatcat:nn632bxsjraghgaav2kpvspxt4

Table of Contents

2016 Australian Journal of Primary Health  
of cracks in the concrete members, brick-brick interface (modeling splitting of bricks) and mortar joints.  ...  learning algorithm that combines estimates of a human expert's preferences with prior information about the environment to generate trajectories for autonomous scientific data collection in marine environments  ... 
doi:10.1071/pyv22n4toc fatcat:hrwhnxdpjreslhuwi7y4edqmo4