4.7 Article

Remote robotic system for 3D measurement of concrete damage in tunnel with ground vehicle and manipulator

Related references

Note: Only part of the references are listed.
Article Engineering, Multidisciplinary

Stereo-vision-based 3D concrete crack detection using adversarial learning with balanced ensemble discriminator networks

Seungbo Shim et al.

Summary: This study proposes a deep learning-based crack detection technology that can better identify cracks in concrete structures. It also introduces a stereo-vision-based method to reconstruct the 3-dimensional shape of cracks.

STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL (2023)

Article Engineering, Civil

Automatic Tunnel Crack Inspection Using an Efficient Mobile Imaging Module and a Lightweight CNN

Jianghai Liao et al.

Summary: This study presents a new mobile tunnel inspection system (MTIS) for fast tunnel crack inspection. The system consists of a mobile imaging module and an automatic crack detection module. The imaging module is equipped with high-resolution CCD cameras, a mobile laser scanner, and a lighting array. The crack detection module utilizes a lightweight convolutional neural network (CNN) with a spatial constraint strategy. Experiments on a new tunnel crack dataset demonstrate that the proposed CNN achieves state-of-the-art performance in tunnel crack detection.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2022)

Article Engineering, Civil

Deep learning-based instance segmentation of cracks from shield tunnel lining images

Hongwei Huang et al.

Summary: This paper proposes a deep learning method for crack instance segmentation in shield tunnel lining images using morphological closing operation and Mask R-CNN, achieving high-quality and efficient crack detection. Experimental results show that the relative optimal model demonstrates good balance accuracy and IoU in test images.

STRUCTURE AND INFRASTRUCTURE ENGINEERING (2022)

Article Computer Science, Interdisciplinary Applications

Automated crack evaluation of a high-rise bridge pier using a ring-type climbing robot

Keunyoung Jang et al.

Summary: This article introduces a deep learning-based automated crack evaluation technique using a ring-type climbing robot for high-rise bridge piers, achieving a precision of 90.92%. The technique utilizes various image processing algorithms to quantify cracks and automatically establish a digital crack map.

COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2021)

Article Computer Science, Interdisciplinary Applications

Crack detection using fusion features-based broad learning system and image processing

Yang Zhang et al.

Summary: The proposed FF-BLS crack detection system utilizes fusion features and incremental learning to achieve efficient training, resulting in similar recognition accuracy as well-known deep convolutional neural networks but with more than 20 times faster training speed.

COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2021)

Article Construction & Building Technology

A UAV-based machine vision method for bridge crack recognition and width quantification through hybrid feature learning

Xiong Peng et al.

Summary: An UAV-based machine vision method for bridge crack recognition and width quantification is proposed in this paper. The method combines R-FCN network and Haar-AdaBoost for effective crack identification and quantification of crack width using object distance data. The proposed method achieves over 90% precision in real bridge crack width quantification, as demonstrated in a case study of Xiangjiang River bridge inspection.

CONSTRUCTION AND BUILDING MATERIALS (2021)

Article Computer Science, Interdisciplinary Applications

Concrete crack detection with handwriting script interferences using faster region-based convolutional neural network

Jianghua Deng et al.

COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2020)

Article Computer Science, Interdisciplinary Applications

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

Yu-Fei Liu et al.

COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2020)

Article Engineering, Civil

Recent research and development programs for infrastructures maintenance, renovation and management in Japan

Yozo Fujino et al.

STRUCTURE AND INFRASTRUCTURE ENGINEERING (2020)

Article Computer Science, Interdisciplinary Applications

Real-time crack assessment using deep neural networks with wall-climbing unmanned aerial system

Shang Jiang et al.

COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2020)

Article Computer Science, Artificial Intelligence

Pavement crack detection network based on pyramid structure and attention mechanism

Xuezhi Xiang et al.

IET IMAGE PROCESSING (2020)

Article Computer Science, Interdisciplinary Applications

Self-Supervised Structure Learning for Crack Detection Based on Cycle-Consistent Generative Adversarial Networks

Kaige Zhang et al.

JOURNAL OF COMPUTING IN CIVIL ENGINEERING (2020)

Article Computer Science, Information Systems

Convolutional Neural Network-Based Pavement Crack Segmentation Using Pyramid Attention Network

Wenjun Wang et al.

IEEE ACCESS (2020)

Review Computer Science, Artificial Intelligence

Deep learning techniques for recommender systems based on collaborative filtering

Guilherme Brandao Martins et al.

EXPERT SYSTEMS (2020)

Article Computer Science, Information Systems

Semi-Supervised Semantic Segmentation Using Adversarial Learning for Pavement Crack Detection

Gang Li et al.

IEEE ACCESS (2020)

Proceedings Paper Computer Science, Artificial Intelligence

Deep Neural Network based Visual Inspection with 3D Metric Measurement of Concrete Defects using Wall-climbing Robot

Liang Yang et al.

2019 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS) (2019)

Article Engineering, Civil

Unmanned aerial vehicle inspection of the Placer River Trail Bridge through image-based 3D modelling

Ali Khaloo et al.

STRUCTURE AND INFRASTRUCTURE ENGINEERING (2018)

Article Construction & Building Technology

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

Xingu Zhong et al.

AUTOMATION IN CONSTRUCTION (2018)

Article Computer Science, Interdisciplinary Applications

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

Xincong Yang et al.

COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2018)

Article Construction & Building Technology

Novel Machine-Learning Model for Estimating Construction Costs Considering Economic Variables and Indexes

Mohammad Hossein Rafiei et al.

JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT (2018)

Review Engineering, Civil

INFRARED THERMOGRAPHY FOR DETECTING DEFECTS IN CONCRETE STRUCTURES

Gene F. Sirca et al.

JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT (2018)

Article Computer Science, Interdisciplinary Applications

Autonomous Structural Visual Inspection Using Region-Based Deep Learning for Detecting Multiple Damage Types

Young-Jin Cha et al.

COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2018)

Article Robotics

Autonomous robotic system for tunnel structural inspection and assessment

Konstantinos Loupos et al.

INTERNATIONAL JOURNAL OF INTELLIGENT ROBOTICS AND APPLICATIONS (2018)

Article Computer Science, Artificial Intelligence

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Shaoqing Ren et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2017)

Review Engineering, Civil

Review of Robotic Infrastructure Inspection Systems

David Lattanzi et al.

JOURNAL OF INFRASTRUCTURE SYSTEMS (2017)

Article Engineering, Geological

NEEWS: A novel earthquake early warning model using neural dynamic classification and neural dynamic optimization

Mohammad Hossein Rafiei et al.

SOIL DYNAMICS AND EARTHQUAKE ENGINEERING (2017)

Article Computer Science, Interdisciplinary Applications

Automated Pixel-Level Pavement Crack Detection on 3D Asphalt Surfaces Using a Deep-Learning Network

Allen Zhang et al.

COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2017)

Article Computer Science, Artificial Intelligence

Evolutionary learning based sustainable strain sensing model for structural health monitoring of high-rise buildings

Byung Kwan Oh et al.

APPLIED SOFT COMPUTING (2017)

Article Computer Science, Interdisciplinary Applications

Deep Learning-Based Crack Damage Detection Using Convolutional Neural Networks

Young-Jin Cha et al.

COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2017)

Article Construction & Building Technology

Supervised Deep Restricted Boltzmann Machine for Estimation of Concrete

Mohammad Hossein Rafiei et al.

ACI MATERIALS JOURNAL (2017)

Article Construction & Building Technology

Novel Approach for Concrete Mixture Design Using Neural Dynamics Model and Virtual Lab Concept

Mohammad Hossein Rafiei et al.

ACI MATERIALS JOURNAL (2017)

Article Construction & Building Technology

Neural Network, Machine Learning, and Evolutionary Approaches for Concrete Material Characterization

Mohammad H. Rafiei et al.

ACI MATERIALS JOURNAL (2016)

Article Construction & Building Technology

A Novel Machine Learning Model for Estimation of Sale Prices of Real Estate Units

Mohammad Hossein Rafiei et al.

JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT (2016)

Article Construction & Building Technology

A Novel Machine Learning Model for Estimation of Sale Prices of Real Estate Units

Mohammad Hossein Rafiei et al.

JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT (2016)

Review Construction & Building Technology

Past, present and future of robotic tunnel inspection

R. Montero et al.

AUTOMATION IN CONSTRUCTION (2015)

Article Computer Science, Interdisciplinary Applications

Integrated Vision-Based System for Automated Defect Detection in Sewer Closed Circuit Television Inspection Videos

Mahmoud R. Halfawy et al.

JOURNAL OF COMPUTING IN CIVIL ENGINEERING (2015)

Article Engineering, Civil

3D Scene Reconstruction for Robotic Bridge Inspection

David Lattanzi et al.

JOURNAL OF INFRASTRUCTURE SYSTEMS (2015)

Article Engineering, Civil

Use of Unmanned Aerial Vehicle for Quantitative Infrastructure Evaluation

A. Ellenberg et al.

JOURNAL OF INFRASTRUCTURE SYSTEMS (2015)

Article Instruments & Instrumentation

Synchrosqueezed wavelet transform-fractality model for locating, detecting, and quantifying damage in smart highrise building structures

Juan P. Amezquita-Sanchez et al.

SMART MATERIALS AND STRUCTURES (2015)

Article Computer Science, Interdisciplinary Applications

Image-Based Automated 3D Crack Detection for Post-disaster Building Assessment

Matthew M. Torok et al.

JOURNAL OF COMPUTING IN CIVIL ENGINEERING (2014)

Article Engineering, Civil

Automated assessment of cracks on concrete surfaces using adaptive digital image processing

Yufei Liu et al.

SMART STRUCTURES AND SYSTEMS (2014)

Article Automation & Control Systems

Mechatronic Systems Design for an Autonomous Robotic System for High-Efficiency Bridge Deck Inspection and Evaluation

Hung M. La et al.

IEEE-ASME TRANSACTIONS ON MECHATRONICS (2013)

Article Instruments & Instrumentation

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

Mohammad R. Jahanshahi et al.

SMART MATERIALS AND STRUCTURES (2013)

Article Computer Science, Interdisciplinary Applications

Concrete Crack Detection by Multiple Sequential Image Filtering

Takafumi Nishikawa et al.

COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2012)

Article Gerontology

Japan: Super-Aging Society Preparing for the Future

Naoko Muramatsu et al.

GERONTOLOGIST (2011)

Article Engineering, Civil

Routine Highway Bridge Inspection Condition Documentation Accuracy and Reliability

Brent M. Phares et al.

JOURNAL OF BRIDGE ENGINEERING (2004)

Article Computer Science, Interdisciplinary Applications

Analysis of edge-detection techniques for crack identification in bridges

L Abdel-Qader et al.

JOURNAL OF COMPUTING IN CIVIL ENGINEERING (2003)