Automation in Construction

Article	Citations
Roles of artificial intelligence in construction engineering and management: A critical review and future trends	442
Public and private blockchain in construction business process and information integration	261
Artificial intelligence and smart vision for building and construction 4.0: Machine and deep learning methods and applications	246
A BIM-data mining integrated digital twin framework for advanced project management	237
From BIM to extended reality in AEC industry	235
Hybrid pixel-level concrete crack segmentation and quantification across complex backgrounds using deep learning	230
Digital twin-enabled anomaly detection for built asset monitoring in operation and maintenance	226
Integrated digital twin and blockchain framework to support accountable information sharing in construction projects	213
Digital twin and its implementations in the civil engineering sector	198
Cloud computing in construction industry: Use cases, benefits and challenges	189
Automatic crack classification and segmentation on masonry surfaces using convolutional neural networks and transfer learning	182
Virtual reality applications for the built environment: Research trends and opportunities	169
Machine learning models for predicting the residual value of heavy construction equipment: An evaluation of modified decision tree, LightGBM, and XGBoost regression	163
On-site autonomous construction robots: Towards unsupervised building	152
Structural crack detection using deep convolutional neural networks	144
Construction quality information management with blockchains	141
Risk assessment and management of excavation system based on fuzzy set theory and machine learning methods	130
A 3D concrete printing prefabrication platform for bespoke columns	127
A real-time detection approach for bridge cracks based on YOLOv4-FPM	125
Additive manufacturing: Technology, applications, markets, and opportunities for the built environment	125
Pavement distress detection using convolutional neural networks with images captured via UAV	119
Development of BIM, IoT and AR/VR technologies for fire safety and upskilling	119
Expertise-based bid evaluation for construction-contractor selection with generalized comparative linguistic ELECTRE III	118
Construction payment automation using blockchain-enabled smart contracts and robotic reality capture technologies	117
Text mining-based construction site accident classification using hybrid supervised machine learning	117

Applications of distributed ledger technology (DLT) and Blockchain-enabled smart contracts in construction	116
Deep learning-based road damage detection and classification for multiple countries	116
A semantic differential transaction approach to minimizing information redundancy for BIM and blockchain integration	116
A smart contract system for security of payment of construction contracts	115
Knowledge graph for identifying hazards on construction sites: Integrating computer vision with ontology	114
Deep convolution neural network-based transfer learning method for civil infrastructure crack detection	112
Securing interim payments in construction projects through a blockchain-based framework	110
Detection and localization of rebar in concrete by deep learning using ground penetrating radar	109
A spatial-channel hierarchical deep learning network for pixel-level automated crack detection	108
Computer vision applications in construction: Current state, opportunities & challenges	106
Attention-based generative adversarial network with internal damage segmentation using thermography	105
LiDAR-equipped UAV path planning considering potential locations of defects for bridge inspection	104
Ultra-rapid delivery of specialty field hospitals to combat COVID-19: Lessons learned from the Leishenshan Hospital project in Wuhan	102
Voxel-based representation of 3D point clouds: Methods, applications, and its potential use in the construction industry	100
Combining multi-criteria decision making (MCDM) methods with building information modelling (BIM): A review	97
Hard-rock tunnel lithology prediction with TBM construction big data using a global-attention-mechanism-based LSTM network	94
Semi-automatic geometric digital twinning for existing buildings based on images and CAD drawings	94
Real-time monitoring of construction sites: Sensors, methods, and applications	94
Automated pixel-level pavement distress detection based on stereo vision and deep learning	93
Real-time railroad track components inspection based on the improved YOLOv4 framework	92
An engineer's guide to eXplainable Artificial Intelligence and Interpretable Machine Learning: Navigating causality, forced goodness, and the false perception of inference	92
Modular composite building in urgent emergency engineering projects: A case study of accelerated design and construction of Wuhan Thunder God Mountain/Leishenshan hospital to COVID-19 pandemic	91
Data mining in the construction industry: Present status, opportunities, and future trends	91
Improving progress monitoring by fusing point clouds, semantic data and computer vision	90
BIM for facilities management: A framework and a common data environment using open standards	90
Pavement asset management systems and technologies: A review	90
Artificial intelligence in green building	87
Leakage detection in water pipelines using supervised classification of acceleration signals	87
Automated structural design of shear wall residential buildings using generative adversarial networks	87
Intelligent contract adoption in the construction industry: Concept development	87
Trajectory control of electro-hydraulic position servo system using improved PSO-PID controller	86
The classification of construction waste material using a deep convolutional neural network	85
Integrated structural health monitoring in bridge engineering	85
Blockchain and the ‘Internet of Things' for the construction industry: research trends and opportunities	84
Dataset and benchmark for detecting moving objects in construction sites	84
Automatic recognition of pavement cracks from combined GPR B-scan and C-scan images using multiscale feature fusion deep neural networks	84
Structural Health Monitoring with Distributed Optical Fiber Sensors of tunnel lining affected by nearby construction activity	83
BIM data flow architecture with AR/VR technologies: Use cases in architecture, engineering and construction	83
Automatically learning construction injury precursors from text	82
Real-time multiple damage mapping using autonomous UAV and deep faster region-based neural networks for GPS-denied structures	81
Measurement and visualization of strains and cracks in CFRP post-tensioned fiber reinforced concrete beams using distributed fiber optic sensors	81
Exploratory literature review of blockchain in the construction industry	80
Exploring smart construction objects as blockchain oracles in construction supply chain management	80
BIM-integrated construction safety risk assessment at the design stage of building projects	79
Planning for terrestrial laser scanning in construction: A review	79
Design approaches and typologies of adaptive facades: A review	79
Hazard identification, risk assessment and control for dam construction safety using an integrated BWM and MARCOS approach under interval type-2 fuzzy sets environment	79
Brainwave-driven human-robot collaboration in construction	78
Machine learning techniques for pavement condition evaluation	78
Computer vision-based interior construction progress monitoring: A literature review and future research directions	77

Machine-learning based vulnerability analysis of existing buildings	77
Classification and analysis of deep learning applications in construction: A systematic literature review	76
Natural language processing for smart construction: Current status and future directions	75
Structural health monitoring and inspection of dams based on UAV photogrammetry with image 3D reconstruction	75
Brain-computer interface for hands-free teleoperation of construction robots	74
Automatic recognition of tunnel lining elements from GPR images using deep convolutional networks with data augmentation	74
Image augmentation to improve construction resource detection using generative adversarial networks, cut-and-paste, and image transformation techniques	74
A systematic review and analysis of the viability of 3D-printed construction in remote environments	74
Automatic pixel-level detection of vertical cracks in asphalt pavement based on GPR investigation and improved mask R-CNN	73
Exoskeletons for manual material handling – A review and implication for construction applications	73
BIM security: A critical review and recommendations using encryption strategy and blockchain	73
Flexible and transportable robotic timber construction platform – TIM	72
Virtual reality technology in construction safety training: Extended technology acceptance model	72
A deep learning approach for fast detection and classification of concrete damage	71
The application of blockchain-based crypto assets for integrating the physical and financial supply chains in the construction & engineering industry	71
Effects of physical fatigue on the induction of mental fatigue of construction workers: A pilot study based on a neurophysiological approach	70
Multi-objective optimization for improved project management: Current status and future directions	70
Distributed common data environment using blockchain and Interplanetary File System for secure BIM-based collaborative design	69
Structural stay-in-place formwork for robotic in situ fabrication of non-standard concrete structures: A real scale architectural demonstrator	69
Ontological knowledge base for concrete bridge rehabilitation project management	69
Development of BIM-integrated construction robot task planning and simulation system	69
Digital building twins and blockchain for performance-based (smart) contracts	69
Real-time mixed reality-based visual warning for construction workforce safety	68
Digital twin-based collapse fragility assessment of a long-span cable-stayed bridge under strong earthquakes	68
Pavement anomaly detection based on transformer and self-supervised learning	68
A performance data integrated BIM framework for building life-cycle energy efficiency and environmental optimization design	68
Towards Civil Engineering 4.0: Concept, workflow and application of Digital Twins for existing infrastructure	67
Cyber-physical postural training system for construction workers	67
Implementing data-driven parametric building design with a flexible toolbox	66
Additive manufacturing of cantilever - From masonry to concrete 3D printing	66
Human-object interaction recognition for automatic construction site safety inspection	66
Interoperability and data exchange within BIM platform to evaluate building energy performance and indoor comfort	66
AI-based prediction of independent construction safety outcomes from universal attributes	66
Forecasting maximum surface settlement caused by urban tunneling	65
A multi-user collaborative BIM-AR system to support design and construction	65
Automatic inspection data collection of building surface based on BIM and UAV	65
ANN-based automated scaffold builder activity recognition through wearable EMG and IMU sensors	64
Improved Mask R-CNN with distance guided intersection over union for GPR signature detection and segmentation	63
Teaching robots to perform quasi-repetitive construction tasks through human demonstration	63
Foam 3D printing for construction: A review of applications, materials, and processes	63
Review of image-based analysis and applications in construction	62
Computer vision-based construction progress monitoring	62
Condition monitoring of bridges with non-contact testing technologies	61
Design and implementation of a smart infrastructure digital twin	61
A review on flood management technologies related to image processing and machine learning	60
Virtual prototyping- and transfer learning-enabled module detection for modular integrated construction	60
A blockchain-based integrated document management framework for construction applications	59
Blockchain in construction management: Applications, advantages and limitations	59
Application of weigh-in-motion technologies for pavement and bridge response monitoring: State-of-the-art review	59
Bond properties of reinforcing bar penetrations in 3D concrete printing	59
The progress and trend of BIM research: A bibliometrics-based visualization analysis	59
Pavement crack detection based on transformer network	59
Blockchain-aided information exchange records for design liability control and improved security	59
Detection, visualization, quantification, and warning of pipe corrosion using distributed fiber optic sensors	59
Automatic concrete crack segmentation model based on transformer	59
Optimized decision support for BIM maturity assessment	58
Automated crack severity level detection and classification for ballastless track slab using deep convolutional neural network	58
Automatic sewer pipe defect semantic segmentation based on improved U-Net	58
Fully automated generation of parametric BIM for MEP scenes based on terrestrial laser scanning data	58
Automatic image-based brick segmentation and crack detection of masonry walls using machine learning	58
Strain transfer effect in distributed fiber optic sensors under an arbitrary field	58
Machine vision-based surface crack analysis for transportation infrastructure	57
3D printing system for earth-based construction: Case study of cob	57
Top 10 technologies for indoor positioning on construction sites	57
SODA: A large-scale open site object detection dataset for deep learning in construction	56
BIM/GIS data integration from the perspective of information flow	56
Artificial intelligence applied to conceptual design. A review of its use in architecture	56
Towards database-free vision-based monitoring on construction sites: A deep active learning approach	56
Multi-objective optimization for pavement maintenance and rehabilitation decision-making: A critical review and future directions	56
Effectiveness of VR crane training with head-mounted display: Double mediation of presence and perceived usefulness	56
Rule-based compliance checking and generative design for building interiors using BIM	55
Monitoring distraction of construction workers caused by noise using a wearable Electroencephalography (EEG) device	55
Semi-supervised semantic segmentation network for surface crack detection	55
Semi-supervised learning with GAN for automatic defect detection from images	55
Vision-based autonomous bolt-looseness detection method for splice connections: Design, lab-scale evaluation, and field application	55
3D concrete printing for sustainable and economical construction: A comparative study	55
Robotic assembly of timber joints using reinforcement learning	55
Automated decision making in highway pavement preventive maintenance based on deep learning	55
Inspection of surface defects on stay cables using a robot and transfer learning	54
Challenges, tasks, and opportunities in teleoperation of excavator toward human-in-the-loop construction automation	54

Mechanized construction of fabricated arches for large-diameter tunnels	54
Web-GIS approach to preventive conservation of heritage buildings	52
Intelligent robotic systems for structural health monitoring: Applications and future trends	52
Customization of on-site assembly services by integrating the internet of things and BIM technologies in modular integrated construction	52
Confidentiality-minded framework for blockchain-based BIM design collaboration	52
Data driven model improved by multi-objective optimisation for prediction of building energy loads	52
Integrating feature engineering, genetic algorithm and tree-based machine learning methods to predict the post-accident disability status of construction workers	52
BIM-based information system for econo-enviro-friendly end-of-life disposal of construction and demolition waste	51
Unsupervised reconstruction of Building Information Modeling wall objects from point cloud data	51
Automated shape and pose updating of building information model elements from 3D point clouds	51
Applications of natural language processing in construction	51
Extending CityGML for IFC-sourced 3D city models	51
Integrated scheduling of suppliers and multi-project activities for green construction supply chains under uncertainty	50
A deep learning-based approach for refined crack evaluation from shield tunnel lining images	50
Building information Modelling (BIM) application for an existing road infrastructure	50
Real-time detection of cracks in tiled sidewalks using YOLO-based method applied to unmanned aerial vehicle (UAV) images	50
An historical building information modelling approach for the preventive conservation of historical constructions: Application to the Historical Library of Salamanca	50
IoT-based detecting, locating and alarming of unauthorized intrusion on construction sites	50
Automatic detection of sewer defects based on improved you only look once algorithm	50
Automated semantic segmentation of industrial point clouds using ResPointNet++	50
Road damage detection using super-resolution and semi-supervised learning with generative adversarial network	50
Bioinspired cellular cementitious structures for prefabricated construction: Hybrid design & performance evaluations	50
A fuzzy-logic IoT lighting and shading control system for smart buildings	50
Digital design computing and modelling for 3-D concrete printing	50
Real-time vision-based worker localization & hazard detection for construction	49
BIM and semantic web-based maintenance information for existing buildings	49
Measurement of cable forces for automated monitoring of engineering structures using fiber optic sensors: A review	49
The impact of engineering information formats on learning and execution of construction operations: A virtual reality pipe maintenance experiment	49
Mapping and modelling defect data from UAV captured images to BIM for building external wall inspection	48
Spatio-temporal feature fusion for real-time prediction of TBM operating parameters: A deep learning approach	48
Automated building extraction using satellite remote sensing imagery	48
Durability properties of 3D printed concrete (3DPC)	48
Agent-based modeling and simulation in construction	48
Classification of construction hazard-related perceptions using: Wearable electroencephalogram and virtual reality	48
Crane operations and planning in modular integrated construction: Mixed review of literature	48
Effect of supplementary cementitious materials on properties of 3D printed conventional and alkali-activated concrete: A review	48
Detecting excessive load-carrying tasks using a deep learning network with a Gramian Angular Field	47
Automated guided vehicles and autonomous mobile robots for recognition and tracking in civil engineering	47
An approach for the automated extraction of road surface distress from a UAV-derived point cloud	47
Recent advancements of robotics in construction	47
Mobile indoor mapping technologies: A review	47
Machine learning-based regional scale intelligent modeling of building information for natural hazard risk management	47
Vision transformer-based autonomous crack detection on asphalt and concrete surfaces	47
BIM-based graph data model for automatic generative design of modular buildings	47
Deep learning and infrared thermography for asphalt pavement crack severity classification	47
Building automation system - BIM integration using a linked data structure	46
Dynamic prediction of mechanized shield tunneling performance	46
VoxelPrint: A Grasshopper plug-in for voxel-based numerical simulation of concrete printing	46
Integrated BIM and DfMA parametric and algorithmic design based collaboration for supporting client engagement within offsite construction	46
Building performance and maintenance information model based on IFC schema	45
Performance of concrete beam reinforced with 3D printed Bioinspired primitive scaffold subjected to three-point bending	45
Big data for Design Options Repository: Towards a DFMA approach for offsite construction	45
Crack detection algorithm for concrete structures based on super-resolution reconstruction and segmentation network	45
An evidence of cognitive benefits from immersive design review: Comparing three-dimensional perception and presence between immersive and non-immersive virtual environments	45
Activity identification in modular construction using audio signals and machine learning	45
Sensitivity analysis of fractal dimensions of crack maps on concrete and masonry walls	45
BIM-based 4D mobile crane simulation and onsite operation management	45
BIM-based environmental impact assessment for infrastructure design projects	45
Deep-learning-based visual data analytics for smart construction management	44
HBIM for storing life-cycle data regarding decay and damage in existing timber structures	44
Exit choice in built environment evacuation combining immersive virtual reality and discrete choice modelling	44
Understanding the challenges of immersive technology use in the architecture and construction industry: A systematic review	44
A parametric BIM approach to foster bridge project design and analysis	44
Manifesting construction activity scenes via image captioning	44
Automated extraction of structural elements in steel girder bridges from laser point clouds	44
Automated asphalt pavement damage rate detection based on optimized GA-CNN	44
A shared ontology suite for digital construction workflow	44
Digital twin-enabled real-time synchronization for planning, scheduling, and execution in precast on-site assembly	43
A critical review of text-based research in construction: Data source, analysis method, and implications	43
Review and analysis of augmented reality (AR) literature for digital fabrication in architecture	43
BIM-based approach to conduct Life Cycle Cost Analysis of resilient buildings at the conceptual stage	43
Presenting the best prediction model of water inflow into drill and blast tunnels among several machine learning techniques	43
Automated semantic segmentation of bridge point cloud based on local descriptor and machine learning	43
Integrated worker detection and tracking for the safe operation of construction machinery	43
Automatic control of groundwater balance to combat dewatering during construction of a metro system	43
Reconstructing BIM from 2D structural drawings for existing buildings	43
Wireless cement-based sensor for self-monitoring of railway concrete infrastructures	43
Artificial intelligence for the modeling of water pipes deterioration mechanisms	42
Integration of blockchains and smart contracts into construction information flows: Proof-of-concept	42
Tunnel construction ventilation frequency-control based on radial basis function neural network	42
Quantification of water inflow in rock tunnel faces via convolutional neural network approach	42
Deep learning-based networks for automated recognition and classification of awkward working postures in construction using wearable insole sensor data	42
Robot for automatic waste sorting on construction sites	42
Exploring graph neural networks for semantic enrichment: Room type classification	42
A field parameters-based method for real-time wear estimation of disc cutter on TBM cutterhead	42
Blockchain in the AECO industry: Current status, key topics, and future research agenda	41
Semantic interpretation of architectural and archaeological geometries: Point cloud segmentation for HBIM parameterisation	41
Multi-criteria decision analysis for tower crane layout planning in high-rise modular integrated construction	41
Posture-related data collection methods for construction workers: A review	41
BIM-GIS-DCEs enabled vulnerability assessment of interdependent infrastructures – A case of stormwater drainage-building-road transport Nexus in urban flooding	41
Real-time space occupancy sensing and human motion analysis using deep learning for indoor air quality control	41
Data-driven multi-output prediction for TBM performance during tunnel excavation: An attention-based graph convolutional network approach	41
A deep neural network-based method for deep information extraction using transfer learning strategies to support automated compliance checking	41
Conservation data parameters for BIM-enabled heritage asset management	41
Attention-guided analysis of infrastructure damage with semi-supervised deep learning	41