The overall assessment of tunnel lining, including shapes, categories, and depths of tunnel
internal defects as well as the thickness of tunnel linings is vital to the safe operation of …

The geological radar method has found widespread use in evaluating the quality of tunnel
lining. However, relying on manual experience to interpret geological radar data may cause …

Tunnel lining inspection using ground penetrating radar (GPR) is a routine procedure to
ensure construction quality. Yet, the interpretation of GPR data relies heavily on manual …

Tunnel lining internal defect detection is essential for the safe operation of tunnels. This
paper presents an automatic scheme based on rotational region deformable convolutional …

It is not practical to obtain a large number of labeled data to train a supervised learning
network in tunnel lining nondestructive testing with ground‐penetrating radar (GPR). To …

This paper presents an approach for the integrated process of classification and instance
segmentation of leakage‐area and scaling images from shield tunnel linings. For this …

This work offers a defect segmentation approach for the nondestructive testing of tunnel
lining internal defects using Ground Penetrating Radar (GPR) data. Given GPR synthetic …

Void defects behind the linings are typical in most operating tunnels, and effective methods
are needed to identify them. This study presents a self-developed non-destructive detection …

Tunnel lining defects are an important indicator reflecting the safety status of shield tunnels.
Inspired by the state‐of‐the‐art deep learning, a method for automatic intelligent …

A tunnel is an imperative underground passageway that supports fast and uninterrupted
transportation. Over time, various factors, such as ageing, topographical changes, and …