A state-of-the-practice review of three-dimensional laser scanning technology for tunnel distress monitoring

C Liu, Y Liu, Y Chen, C Zhao, J Qiu, D Wu… - … of Performance of …, 2023 - ascelibrary.org
Tunnel distress occurs often. Tunnel leakage, segment dislocation, and section deformation
seriously affect tunnel construction safety and normal operation. Currently, mainly the …

Research on product surface quality inspection technology based on 3D point cloud

L Huo, Y Liu, Y Yang, Z Zhuang… - Advances in Mechanical …, 2023 - journals.sagepub.com
In recent years, machine vision has played an important role in product surface quality
detection. The promotion and use of this technology have largely avoided the subjectivity …

Deep learning–based image instance segmentation for moisture marks of shield tunnel lining

S Zhao, DM Zhang, HW Huang - Tunnelling and Underground Space …, 2020 - Elsevier
This paper presents a method for the image instance segmentation of the moisture marks of
shield tunnel lining using a mask-region-based convolutional neural network (Mask R-CNN) …

Deep learning‐based classification and instance segmentation of leakage‐area and scaling images of shield tunnel linings

S Zhao, M Shadabfar, D Zhang… - Structural Control and …, 2021 - Wiley Online Library
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 …

Shield subway tunnel deformation detection based on mobile laser scanning

H Cui, X Ren, Q Mao, Q Hu, W Wang - Automation in Construction, 2019 - Elsevier
Shield subway tunnels are critical urban infrastructure and precise, rapid deformation
detection method is required for the maintenance of these tunnels. A tunnel deformation …

Towards automated 3D inspection of water leakages in shield tunnel linings using mobile laser scanning data

H Huang, W Cheng, M Zhou, J Chen, S Zhao - Sensors, 2020 - mdpi.com
On-site manual inspection of metro tunnel leakages has been faced with the problems of low
efficiency and poor accuracy. An automated, high-precision, and robust water leakage …

Comparison of time-of-flight and phase-shift TLS intensity data for the diagnostics measurements of buildings

C Suchocki - Materials, 2020 - mdpi.com
In recent years, the terrestrial laser scanning system (TLS) has become one of the most
popular remote and nondestructive testing (NDT) methods for diagnostic measurements of …

RailSeg: Learning Local-Global Feature Aggregation with Contextual Information for Railway Point Cloud Semantic Segmentation

T Jiang, B Yang, Y Wang, L Dai, B Qiu… - … on Geoscience and …, 2023 - ieeexplore.ieee.org
Incomplete or outdated inventories of railway infrastructures may disrupt the railway sector's
administration and maintenance of transportation infrastructure, thus posing potential threats …

Multispectral water leakage detection based on a one-stage anchor-free modality fusion network for metro tunnels

L Han, J Chen, H Li, G Liu, B Leng, A Ahmed… - Automation in …, 2022 - Elsevier
Water leakage detection has remained one of the high-priority research topics for metro
tunnel inspection. Previous research mainly uses a single visible light camera as a sensor to …

A machine learning approach for the detection of supporting rock bolts from laser scan data in an underground mine

J Gallwey, M Eyre, J Coggan - Tunnelling and Underground Space …, 2021 - Elsevier
Rock bolts are a crucial part of underground infrastructure support; however, current
methods to locate and record their positions are manual, time consuming and generally …