Workflow of the proposed explainable modeling framework for metro tunnel inspections using backpack SLAM LiDAR. The pipeline integrates field experiments with varying operational factors, point cloud preprocessing, statistical fitting of quality metrics v (IMAGE)

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Workflow of the proposed explainable modeling framework for metro tunnel inspections using backpack SLAM LiDAR. The pipeline integrates field experiments with varying operational factors, point cloud preprocessing, statistical fitting of quality metrics v

Caption

Workflow of the proposed explainable modeling framework for metro tunnel inspections using backpack SLAM LiDAR. The pipeline integrates field experiments with varying operational factors, point cloud preprocessing, statistical fitting of quality metrics via Skew-Normal distributions, and interpretable machine learning using CatBoost regression and SHAP analysis to quantify the influence of inspection conditions on point cloud quality.

Credit

Wenbo Qin/ Huazhong University of Science and Technology, Shangbin Gao/ Huazhong University of Science and Technology, Cheng Zhou/ Huazhong University of Science and Technology

Usage Restrictions

Credit must be given to the creator.

License

CC BY

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