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What is Automated Steel Structure Inspection Framework about?

This paper introduces a deep learning-based Scan-vs-BIM framework for automated structural inspection of steel structures, aiming to enhance computational efficiency and accuracy in integrity evaluation. The proposed method utilizes a deep neural network to directly compare As-Built point cloud data with As-Planned BIM models, eliminating the need for mesh conversion. Experimental results demonstrate significant improvements in both accuracy and performance compared to traditional Scan-vs-BIM processes.

Author

pedrophgdd

Language

EN