Innovative method for pavement multiple damages segmentation and measurement by the Road-Seg-CapsNet of feature fusion

Deep semantic segmentation for visual understanding on construction sites

(2021) Zifeng Wang et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Dynamics‐based cross‐domain structural damage detection through deep transfer learning

(2021) Yi‐zhou Lin et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Virtual generation of pavement crack images based on improved deep convolutional generative adversarial network

(2021) Lili Pei et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

StyleGANs and Transfer Learning for Generating Synthetic Images in Industrial Applications

(2021) Harold Achicanoy et al.   Symmetry-Basel

A Deep Learning Framework for Vibration-Based Assessment of Delamination in Smart Composite Laminates

(2020) Asif Khan et al.   SENSORS

Generative adversarial network for road damage detection

(2020) Hiroya Maeda et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Concrete crack detection and quantification using deep learning and structured light

(2020) Song Ee Park et al.   CONSTRUCTION AND BUILDING MATERIALS

Deep learning models for bridge deck evaluation using impact echo

(2020) Sattar Dorafshan et al.   CONSTRUCTION AND BUILDING MATERIALS

Automatic delamination segmentation for bridge deck based on encoder-decoder deep learning through UAV-based thermography

(2020) Chongsheng Cheng et al.   NDT & E INTERNATIONAL

CrackGAN: Pavement Crack Detection Using Partially Accurate Ground Truths Based on Generative Adversarial Learning

(2020) Kaige Zhang et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Automatic damage detection of historic masonry buildings based on mobile deep learning

(2019) Niannian Wang et al.   AUTOMATION IN CONSTRUCTION

A unified convolutional neural network integrated with conditional random field for pipe defect segmentation

(2019) Mingzhu Wang et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Image-based concrete crack detection in tunnels using deep fully convolutional networks

(2019) Yupeng Ren et al.   CONSTRUCTION AND BUILDING MATERIALS

Innovative method for recognizing subgrade defects based on a convolutional neural network

(2018) Zheng Tong et al.   CONSTRUCTION AND BUILDING MATERIALS

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 Pixel-Level Crack Detection and Measurement Using Fully Convolutional Network

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

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

Structural vibration-based classification and prediction of delamination in smart composite laminates using deep learning neural network

(2018) Asif Khan et al.   COMPOSITES PART B-ENGINEERING

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

(2017) Vijay Badrinarayanan et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Crack detection and characterization techniques-An overview

(2014) Yao Yao et al.   Structural Control & Health Monitoring

Application of digital image correlation in investigating the bond between FRP and masonry

(2013) Bahman Ghiassi et al.   COMPOSITE STRUCTURES

A new methodology for non-contact accurate crack width measurement through photogrammetry for automated structural safety evaluation

(2013) Mohammad R Jahanshahi et al.   Smart Materials and Structures

Texture Analysis Based Damage Detection of Ageing Infrastructural Elements

(2012) Michael O’Byrne et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Concrete Crack Detection by Multiple Sequential Image Filtering

(2011) Takafumi Nishikawa et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING