Pixel-Level Fatigue Crack Segmentation in Large-Scale Images of Steel Structures Using an Encoder–Decoder Network

Intelligent crack detection based on attention mechanism in convolution neural network

(2021) Xiaoning Cui et al.   ADVANCES IN STRUCTURAL ENGINEERING

Improvement of Damage Segmentation Based on Pixel-Level Data Balance Using VGG-Unet

(2021) Jiyuan Shi et al.   Applied Sciences-Basel

The 1st International Project Competition for Structural Health Monitoring (IPC-SHM, 2020): A summary and benchmark problem

(2021) Yuequan Bao et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

A hybrid DIC–EFG method for strain field characterization and stress intensity factor evaluation of a fatigue crack

(2020) Zhihui Zhu et al.   MEASUREMENT

Localization and segmentation of metal cracks using deep learning

(2020) Yasir Aslam et al.   Journal of Ambient Intelligence and Humanized Computing

Machine Learning-Enriched Lamb Wave Approaches for Automated Damage Detection

(2020) Zi Zhang et al.   SENSORS

Data Consistency Assessment Function (DCAF)

(2020) Yuanchang Chen et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A review of computer vision–based structural health monitoring at local and global levels

(2020) Chuan-Zhi Dong et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

A research on an improved Unet-based concrete crack detection algorithm

(2020) Lingxin Zhang et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

A cost effective solution for pavement crack inspection using cameras and deep neural networks

(2020) Qipei Mei et al.   CONSTRUCTION AND BUILDING MATERIALS

Development of a Distortion-Induced Fatigue Crack Characterization Methodology Using Digital Image Correlation

(2020) Landon Dellenbaugh et al.   Journal of Bridge Engineering

A portable monitoring approach using cameras and computer vision for bridge load rating in smart cities

(2020) Chuan-Zhi Dong et al.   Journal of Civil Structural Health Monitoring

Investigation of vibration serviceability of a footbridge using computer vision-based methods

(2020) Chuan-Zhi Dong et al.   ENGINEERING STRUCTURES

Machine learning paradigm for structural health monitoring

(2020) Yuequan Bao et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Advances in Computer Vision-Based Civil Infrastructure Inspection and Monitoring

(2019) Billie F. Spencer et al.   Engineering

The State of the Art of Data Science and Engineering in Structural Health Monitoring

(2019) Yuequan Bao et al.   Engineering

Encoder-decoder network for pixel-level road crack detection in black-box images

(2019) Seongdeok Bang et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Monitoring fatigue cracks on eyebars of steel bridges using acoustic emission: A case study

(2019) Wael A. Megid et al.   ENGINEERING FRACTURE MECHANICS

Concrete Crack Detection and Monitoring Using a Capacitive Dense Sensor Array

(2019) Jin Yan et al.   SENSORS

Vision-Based Modal Survey of Civil Infrastructure Using Unmanned Aerial Vehicles

(2019) Vedhus Hoskere et al.   JOURNAL OF STRUCTURAL ENGINEERING

A Robust Vision-Based Method for Displacement Measurement under Adverse Environmental Factors Using Spatio-Temporal Context Learning and Taylor Approximation

(2019) Chuan-Zhi Dong et al.   SENSORS

Artificial Intelligence Assisted Infrastructure Assessment using Mixed Reality Systems

(2019) Enes Karaaslan et al.   TRANSPORTATION RESEARCH RECORD

Computer vision-based concrete crack detection using U-net fully convolutional networks

(2019) Zhenqing Liu et al.   AUTOMATION IN CONSTRUCTION

Structural displacement monitoring using deep learning-based full field optical flow methods

(2019) Chuan-Zhi Dong et al.   Structure and Infrastructure Engineering

Benchmark for Evaluating Performance in Visual Inspection of Fatigue Cracking in Steel Bridges

(2019) Leslie E. Campbell et al.   Journal of Bridge Engineering

SDDNet: Real-Time Crack Segmentation

(2019) Wooram Choi et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Vision-Based Fatigue Crack Detection of Steel Structures Using Video Feature Tracking

(2018) Xiangxiong Kong et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Surface fatigue crack identification in steel box girder of bridges by a deep fusion convolutional neural network based on consumer-grade camera images

(2018) Yang Xu et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Automatic Pixel-Level Crack Detection and Measurement Using Fully Convolutional Network

(2018) Xincong Yang et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Marker-free monitoring of the grandstand structures and modal identification using computer vision methods

(2018) Chuan-Zhi Dong et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Autonomous concrete crack detection using deep fully convolutional neural network

(2018) Cao Vu Dung et al.   AUTOMATION IN CONSTRUCTION

Fully Convolutional Networks for Semantic Segmentation

(2017) Evan Shelhamer et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Identification framework for cracks on a steel structure surface by a restricted Boltzmann machines algorithm based on consumer-grade camera images

(2017) Yang Xu et al.   Structural Control & Health Monitoring