zhouchunpong/multi-view-3DGPR
The code and dataset of paper *Multi-View Fusion and Distillation for Subgrade Distresses Detection based on 3D-GPR*
This project helps civil engineers and infrastructure maintenance teams automatically detect issues beneath road surfaces using 3D ground-penetrating radar (GPR) data. It takes raw 3D-GPR scans as input and produces detailed information about subgrade distresses, like voids or cracks, allowing for more efficient and accurate inspections than traditional methods. The primary users are professionals involved in road and infrastructure assessment.
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Use this if you need to identify hidden problems in road subgrades more efficiently and accurately from your 3D-GPR survey data.
Not ideal if you are working with older 1D A-scan or 2D B-scan GPR data, or if you are not focused on subgrade distress detection.
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Language
Python
License
GPL-3.0
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Last pushed
Jun 14, 2024
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