Automated bridge component recognition from point clouds using deep learning

Long-term displacement measurement of full-scale bridges using camera ego-motion compensation

(2020) Junhwa Lee et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Deep learning–based autonomous concrete crack evaluation through hybrid image scanning

(2019) Keunyoung Jang 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

Applications of 3D point cloud data in the construction industry: A fifteen-year review from 2004 to 2018

(2019) Qian Wang et al.   ADVANCED ENGINEERING INFORMATICS

Deep Learning Approach to Point Cloud Scene Understanding for Automated Scan to 3D Reconstruction

(2019) Jingdao Chen et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

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

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

Image‐based concrete crack assessment using mask and region‐based convolutional neural network

(2019) Byunghyun Kim et al.   Structural Control & Health Monitoring

Long‐term displacement measurement of bridges using a LiDAR system

(2019) Junhwa Lee et al.   Structural Control & Health Monitoring

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

(2019) Zhenqing Liu et al.   AUTOMATION IN CONSTRUCTION

Digital twinning of existing reinforced concrete bridges from labelled point clusters

(2019) Ruodan Lu et al.   AUTOMATION IN CONSTRUCTION

Image‐based crack assessment of bridge piers using unmanned aerial vehicles and three‐dimensional scene reconstruction

(2019) Yu‐Fei Liu et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Vision‐based automated bridge component recognition with high‐level scene consistency

(2019) Yasutaka Narazaki et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Pixel-based operating modes from surveillance videos for structural vibration monitoring: A preliminary experimental study

(2019) A. Zare Hosseinzadeh et al.   MEASUREMENT

Assessment of the feasibility of detecting concrete cracks in images acquired by unmanned aerial vehicles

(2018) Xingu Zhong et al.   AUTOMATION IN CONSTRUCTION

Image analysis method for crack distribution and width estimation for reinforced concrete structures

(2018) Yuan-Sen Yang et al.   AUTOMATION IN CONSTRUCTION

Terrestrial laser scanner assessment of deteriorating concrete structures

(2018) David W. Law et al.   Structural Control & Health Monitoring

Surface damage quantification of postearthquake building based on terrestrial laser scan data

(2018) Kaoshan Dai et al.   Structural Control & Health Monitoring

Crack and Noncrack Classification from Concrete Surface Images Using Machine Learning

(2018) Hyunjun Kim et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Detection of Structural Components in Point Clouds of Existing RC Bridges

(2018) Ruodan Lu et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Image-based post-disaster inspection of reinforced concrete bridge systems using deep learning with Bayesian optimization

(2018) Xiao Liang   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

A novel computer vision-based monitoring methodology for vehicle-induced aerodynamic load on noise barrier

(2018) Yue Pan et al.   Structural Control & Health Monitoring

Autonomous concrete crack detection using deep fully convolutional neural network

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

Development and field testing of a vision-based displacement system using a low cost wireless action camera

(2018) Darragh Lydon et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Dynamic displacement estimation by fusing LDV and LiDAR measurements via smoothing based Kalman filtering

(2017) Kiyoung Kim et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Probabilistic Fatigue Life Updating for Railway Bridges Based on Local Inspection and Repair

(2017) Young-Joo Lee et al.   SENSORS

Computer Vision-Based Structural Displacement Measurement Robust to Light-Induced Image Degradation for In-Service Bridges

(2017) Junhwa Lee et al.   SENSORS

Concrete Crack Identification Using a UAV Incorporating Hybrid Image Processing

(2017) Hyunjun Kim et al.   SENSORS

Detection of structural faults in piers of masonry arch bridges through automated processing of laser scanning data

(2017) A. Sánchez-Rodríguez et al.   Structural Control & Health Monitoring

New approach for monitoring historic and heritage buildings: Using terrestrial laser scanning and generalised Procrustes analysis

(2017) Hasan Abdulhussein Jaafar et al.   Structural Control & Health Monitoring

Automated processing of large point clouds for structural health monitoring of masonry arch bridges

(2016) B. Riveiro et al.   AUTOMATION IN CONSTRUCTION

Identification of spatio-temporal distribution of vehicle loads on long-span bridges using computer vision technology

(2015) Zhicheng Chen et al.   Structural Control & Health Monitoring

Algorithm for the analysis of deformations and stresses due to torsion in a metal beam from LIDAR data

(2015) M. Cabaleiro et al.   Structural Control & Health Monitoring

Curvature Monitoring of Beams Using Digital Image Correlation

(2013) Michael Dutton et al.   Journal of Bridge Engineering

Structural health monitoring of a cable-stayed bridge using smart sensor technology: deployment and evaluation

(2013) Shinae Jang et al.   Smart Structures and Systems

Experimental accuracy of two dimensional strain measurements using Digital Image Correlation

(2012) Neil A. Hoult et al.   ENGINEERING STRUCTURES

Detection of large-scale concrete columns for automated bridge inspection

(2010) Z. Zhu et al.   AUTOMATION IN CONSTRUCTION

Concrete Column Recognition in Images and Videos

(2010) Zhenhua Zhu et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING