王金国

IIGF-Net: An interpretability-driven intensity-geometry fusion framework for shield tunnel leakage segmentation in 3D point clouds

Automated leakage detection from MLS-acquired 3D point clouds is essential for the preventive maintenance of shield tunnels. However, existing deep learning methods must reconcile the use of physically grounded handcrafted descriptors with the opaque representations learned by hi...