Efficient Detection of Apparent Defects in Subway Tunnel Linings ...

High-precision and rapid detection of apparent defects in subway tunnel linings is crucial for ensuring the structural integrity of tunnels and the safety ...

[PDF] Efficient Detection of Apparent Defects in Subway Tunnel ...

High-precision and rapid detection of apparent defects in subway tunnel linings is crucial for ensuring the structural integrity of tunnels and the safety ...

A highly efficient tunnel lining crack detection model based on Mini ...

The accurate detection of tunnel lining cracks and prompt identification of their primary causes are critical for maintaining tunnel ...

Jiasong Zhu's research works | Shenzhen University and other places

High-precision and rapid detection of apparent defects in subway tunnel linings is crucial for ensuring the structural integrity of tunnels and the safety of ...

Automatic Detection and Association Analysis of Multiple Surface ...

The surface defects on a shield subway tunnel can significantly affect the serviceability of the tunnel structure and may compromise ...

Inspection equipment study for subway tunnel defects by grey-scale ...

This equipment can work in all kinds of working conditions especially tunneling to inspect the crack at the surface of the lining. The equipment uses the laser ...

Some examples of the RTSD dataset, including: (a) spalling defects...

The multi vision metro tunnel defect sensing system mainly consists of IRT and RGB cameras, which can automatically identify and extract small tunnel lining ...

Article Versions Notes - MDPI

Efficient Detection of Apparent Defects in Subway Tunnel Linings Based on Deep Learning Methods. Appl. Sci. 2024, 14, 7824. https://doi.org/10.3390 ...

Automatic recognition of defects behind railway tunnel linings in ...

Among various non-destructive testing methods, ground penetrating radar (GPR) has become a routine tool for detecting hidden defects due to its high efficiency, ...

Image-Processing-Based Subway Tunnel Crack Detection System

Efficient Detection of Apparent Defects in Subway Tunnel Linings Based on Deep Learning Methods · Zheng A · Qi S · Cheng Y; et al. See more. Applied Sciences ...

Defect Detection of Subway Tunnels Using Advanced - ProQuest

Through the experiments using a real-world subway tunnel image dataset, the proposed method showed a better performance than that of general semantic ...

Research on Detection Method for Tunnel Lining Defects Based on ...

Ground penetrating radar (GPR) is an efficient, anti- interference, and highly penetrating non-destructive testing tool that provides more ...

Subway Tunnel Crack Identification based on YOLOv5

Huang H, Li Q, Zhang D. Deep learning based image recognition for crack and leakage defects of metro shield tunnel [J]. Tunnelling and ...

A crack detection system of subway tunnel based on image ...

Efficient Detection of Apparent Defects in Subway Tunnel Linings Based on Deep Learning Methods · Engineering, Computer Science. Applied Sciences · 2024.

A Fast Detection Method via Region‐Based Fully Convolutional ...

... detection of tunnel lining defects ... Efficient Detection of Apparent Defects in Subway Tunnel Linings Based on Deep Learning Methods.

Effective small crack detection based on tunnel crack characteristics ...

As the service lives of metros grow, various defects will inevitably appear in metro tunnels. Studies have shown that the presence of cracks ...

Defect Detection of Subway Tunnels Using Advanced U-Net Network

Through the experiments using a real-world subway tunnel image dataset, the proposed method showed a better performance than that of general semantic ...

Identifying void defects behind Tunnel composite lining ... - NDT.net

Void defects over 10 cm in size behind the lining can be effectively detected according to the different apparent resistivities of the media,.

Automatic recognition of defects behind railway tunnel linings in ...

Efficient Detection of Apparent Defects in Subway Tunnel Linings Based on Deep Learning Methods · Applied SciencesPub Date: 2024-09-03. Cost-effective image ...

Deep Learning Enhanced Crack Detection for Tunnel Inspection

The study utilizes deep learning technology to improve crack detection in tunnels, surpassing the limitations of manual inspection methods.