PointCloudYC/se-pseudogrid
SE-PseudoGrid for the AutoCon journal paper.
This project helps construction or facilities managers automatically identify different piping components (like flanges, elbows, or valves) within 3D LiDAR scans of industrial sites. It takes raw 3D point cloud data from LiDAR scans as input and outputs a classification for each recognized pipe part. This is ideal for professionals involved in building information modeling (BIM), facility management, or automated construction progress monitoring.
No commits in the last 6 months.
Use this if you need to precisely classify various piping components from 3D LiDAR point clouds to support tasks like inventory, maintenance, or as-built model generation.
Not ideal if you are working with 2D images, general 3D object recognition outside of piping, or require real-time, on-site classification with limited computational resources.
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9
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3
Language
Jupyter Notebook
License
MIT
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Last pushed
Aug 12, 2022
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