Automated crack severity level detection and classification for ballastless track slab using deep convolutional neural network

Hybrid pixel-level concrete crack segmentation and quantification across complex backgrounds using deep learning

(2020) Dongho Kang et al.   AUTOMATION IN CONSTRUCTION

Patch-Based Crack Detection in Black Box Images Using Convolutional Neural Networks

(2019) Somin Park et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Concrete crack detection using context‐aware deep semantic segmentation network

(2019) Xinxiang Zhang et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Experimental study on evolution of mechanical properties of CRTS III ballastless slab track under fatigue load

(2019) Zeng Zhi-ping et al.   CONSTRUCTION AND BUILDING MATERIALS

Learning to Detect Cracks on Damaged Concrete Surfaces Using Two-Branched Convolutional Neural Network

(2019) Jieun Lee et al.   SENSORS

Self-reconfigurable façade-cleaning robot equipped with deep-learning-based crack detection based on convolutional neural networks

(2019) Maryam Kouzehgar et al.   AUTOMATION IN CONSTRUCTION

Pixel-Level Cracking Detection on 3D Asphalt Pavement Images Through Deep-Learning- Based CrackNet-V

(2019) Yue Fei et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

SDDNet: Real-Time Crack Segmentation

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

Automatic recognition of asphalt pavement cracks using metaheuristic optimized edge detection algorithms and convolution neural network

(2018) Hoang Nhat-Duc et al.   AUTOMATION IN CONSTRUCTION

A novel method for asphalt pavement crack classification based on image processing and machine learning

(2018) Nhat-Duc Hoang et al.   ENGINEERING WITH COMPUTERS

NB-CNN: Deep Learning-Based Crack Detection Using Convolutional Neural Network and Naïve Bayes Data Fusion

(2018) Fu-Chen Chen et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Unified Approach to Pavement Crack and Sealed Crack Detection Using Preclassification Based on Transfer Learning

(2018) Kaige Zhang et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Deep Learning–Based Fully Automated Pavement Crack Detection on 3D Asphalt Surfaces with an Improved CrackNet

(2018) Allen Zhang et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Automatic Recognition of Asphalt Pavement Cracks Based on Image Processing and Machine Learning Approaches: A Comparative Study on Classifier Performance

(2018) Nhat-Duc Hoang et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

An enhanced dynamic Gaussian mixture model–based damage monitoring method of aircraft structures under environmental and operational conditions

(2018) Lei Qiu et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

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

Deep learning based image recognition for crack and leakage defects of metro shield tunnel

(2018) Hong-wei Huang et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Convolutional Neural Network for Asphalt Pavement Surface Texture Analysis

(2018) Zheng Tong et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Damage Classification for Masonry Historic Structures Using Convolutional Neural Networks Based on Still Images

(2018) Niannian Wang et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Automated Pixel-Level Pavement Crack Detection on 3D Asphalt Surfaces with a Recurrent Neural Network

(2018) Allen Zhang et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

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

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

Mechanical property and damage evolution of concrete interface of ballastless track in high-speed railway: Experiment and simulation

(2018) Shengyang Zhu et al.   CONSTRUCTION AND BUILDING MATERIALS

Comparison of deep convolutional neural networks and edge detectors for image-based crack detection in concrete

(2018) Sattar Dorafshan et al.   CONSTRUCTION AND BUILDING MATERIALS

Detection of Asphalt Pavement Potholes and Cracks Based on the Unmanned Aerial Vehicle Multispectral Imagery

(2018) Yifan Pan et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Zernike‐moment measurement of thin‐crack width in images enabled by dual‐scale deep learning

(2018) FuTao Ni et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Automated Vision-Based Detection of Cracks on Concrete Surfaces Using a Deep Learning Technique

(2018) Byunghyun Kim et al.   SENSORS

Metaheuristic Optimized Edge Detection for Recognition of Concrete Wall Cracks: A Comparative Study on the Performances of Roberts, Prewitt, Canny, and Sobel Algorithms

(2018) Nhat-Duc Hoang et al.   Advances in Civil Engineering

Deep learning-based automatic volumetric damage quantification using depth camera

(2018) Gustavo H. Beckman et al.   AUTOMATION IN CONSTRUCTION

An efficient and reliable coarse-to-fine approach for asphalt pavement crack detection

(2017) Dejin Zhang et al.   IMAGE AND VISION COMPUTING

Evaluation of cracking in asphalt pavement with stabilized base course based on statistical pattern recognition

(2017) Qun Yang et al.   International Journal of Pavement Engineering

Methodology for Accurate AASHTO PP67-10–Based Cracking Quantification Using 1-mm 3D Pavement Images

(2017) Shi Qiu et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Cracking Classification Using Minimum Rectangular Cover–Based Support Vector Machine

(2017) Shaofan Wang et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Rahbin: A quadcopter unmanned aerial vehicle based on a systematic image processing approach toward an automated asphalt pavement inspection

(2016) H. Zakeri et al.   AUTOMATION IN CONSTRUCTION

Vision-based detection of loosened bolts using the Hough transform and support vector machines

(2016) Young-Jin Cha et al.   AUTOMATION IN CONSTRUCTION

Automatic Road Crack Detection Using Random Structured Forests

(2016) Yong Shi et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Use of a Self-Organizing Map for Crack Detection in Highly Textured Pavement Images

(2015) S. Mathavan et al.   Journal of Infrastructure Systems

Deep learning

(2015) Yann LeCun et al.   NATURE

Automatic Crack Detection and Classification Method for Subway Tunnel Safety Monitoring

(2014) Wenyu Zhang et al.   SENSORS

Matched Filtering Algorithm for Pavement Cracking Detection

(2013) Allen Zhang et al.   TRANSPORTATION RESEARCH RECORD

Multiresolution Information Mining for Pavement Crack Image Analysis

(2012) Y. O. Adu-Gyamfi et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

FoSA: F* Seed-growing Approach for crack-line detection from pavement images

(2011) Qingquan Li et al.   IMAGE AND VISION COMPUTING

Adaptive Road Crack Detection System by Pavement Classification

(2011) Miguel Gavilán et al.   SENSORS

Multiclass defect detection and classification in weld radiographic images using geometric and texture features

(2010) Ioannis Valavanis et al.   EXPERT SYSTEMS WITH APPLICATIONS

Automatic ridgelet image enhancement algorithm for road crack image based on fuzzy entropy and fuzzy divergence

(2009) Daqi Zhang et al.   OPTICS AND LASERS IN ENGINEERING

Application of a new image segmentation method to detection of defects in castings

(2008) Yinggan Tang et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY