Automation in Construction

Papers
(The TQCC of Automation in Construction is 27. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-09-01 to 2024-09-01.)
ArticleCitations
Roles of artificial intelligence in construction engineering and management: A critical review and future trends500
Artificial intelligence and smart vision for building and construction 4.0: Machine and deep learning methods and applications294
Public and private blockchain in construction business process and information integration281
A BIM-data mining integrated digital twin framework for advanced project management265
Hybrid pixel-level concrete crack segmentation and quantification across complex backgrounds using deep learning250
Digital twin-enabled anomaly detection for built asset monitoring in operation and maintenance244
Integrated digital twin and blockchain framework to support accountable information sharing in construction projects236
Digital twin and its implementations in the civil engineering sector219
Cloud computing in construction industry: Use cases, benefits and challenges202
Automatic crack classification and segmentation on masonry surfaces using convolutional neural networks and transfer learning200
Virtual reality applications for the built environment: Research trends and opportunities181
Machine learning models for predicting the residual value of heavy construction equipment: An evaluation of modified decision tree, LightGBM, and XGBoost regression177
On-site autonomous construction robots: Towards unsupervised building166
Structural crack detection using deep convolutional neural networks161
Construction quality information management with blockchains149
Risk assessment and management of excavation system based on fuzzy set theory and machine learning methods142
A 3D concrete printing prefabrication platform for bespoke columns134
Additive manufacturing: Technology, applications, markets, and opportunities for the built environment133
A real-time detection approach for bridge cracks based on YOLOv4-FPM131
Applications of distributed ledger technology (DLT) and Blockchain-enabled smart contracts in construction130
Pavement distress detection using convolutional neural networks with images captured via UAV130
Development of BIM, IoT and AR/VR technologies for fire safety and upskilling130
Deep learning-based road damage detection and classification for multiple countries128
A semantic differential transaction approach to minimizing information redundancy for BIM and blockchain integration122
Construction payment automation using blockchain-enabled smart contracts and robotic reality capture technologies122
Expertise-based bid evaluation for construction-contractor selection with generalized comparative linguistic ELECTRE III121
Text mining-based construction site accident classification using hybrid supervised machine learning121
Computer vision applications in construction: Current state, opportunities & challenges120
A smart contract system for security of payment of construction contracts120
Attention-based generative adversarial network with internal damage segmentation using thermography120
Knowledge graph for identifying hazards on construction sites: Integrating computer vision with ontology119
Detection and localization of rebar in concrete by deep learning using ground penetrating radar117
Securing interim payments in construction projects through a blockchain-based framework116
A spatial-channel hierarchical deep learning network for pixel-level automated crack detection114
Real-time monitoring of construction sites: Sensors, methods, and applications113
LiDAR-equipped UAV path planning considering potential locations of defects for bridge inspection112
Artificial intelligence in green building107
An engineer's guide to eXplainable Artificial Intelligence and Interpretable Machine Learning: Navigating causality, forced goodness, and the false perception of inference107
Voxel-based representation of 3D point clouds: Methods, applications, and its potential use in the construction industry106
Automated pixel-level pavement distress detection based on stereo vision and deep learning104
Pavement asset management systems and technologies: A review103
Combining multi-criteria decision making (MCDM) methods with building information modelling (BIM): A review103
Ultra-rapid delivery of specialty field hospitals to combat COVID-19: Lessons learned from the Leishenshan Hospital project in Wuhan103
Hard-rock tunnel lithology prediction with TBM construction big data using a global-attention-mechanism-based LSTM network101
BIM for facilities management: A framework and a common data environment using open standards99
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 pandemic97
Real-time railroad track components inspection based on the improved YOLOv4 framework97
Intelligent contract adoption in the construction industry: Concept development96
Automatic recognition of pavement cracks from combined GPR B-scan and C-scan images using multiscale feature fusion deep neural networks96
Dataset and benchmark for detecting moving objects in construction sites95
Integrated structural health monitoring in bridge engineering95
Data mining in the construction industry: Present status, opportunities, and future trends95
BIM data flow architecture with AR/VR technologies: Use cases in architecture, engineering and construction95
Leakage detection in water pipelines using supervised classification of acceleration signals94
The classification of construction waste material using a deep convolutional neural network92
Automated structural design of shear wall residential buildings using generative adversarial networks91
Trajectory control of electro-hydraulic position servo system using improved PSO-PID controller91
Structural Health Monitoring with Distributed Optical Fiber Sensors of tunnel lining affected by nearby construction activity91
Blockchain and the ‘Internet of Things' for the construction industry: research trends and opportunities90
Real-time multiple damage mapping using autonomous UAV and deep faster region-based neural networks for GPS-denied structures89
Exploring smart construction objects as blockchain oracles in construction supply chain management89
Machine learning techniques for pavement condition evaluation88
Automatic pixel-level detection of vertical cracks in asphalt pavement based on GPR investigation and improved mask R-CNN88
Exploratory literature review of blockchain in the construction industry88
Measurement and visualization of strains and cracks in CFRP post-tensioned fiber reinforced concrete beams using distributed fiber optic sensors86
Classification and analysis of deep learning applications in construction: A systematic literature review85
Natural language processing for smart construction: Current status and future directions85
Hazard identification, risk assessment and control for dam construction safety using an integrated BWM and MARCOS approach under interval type-2 fuzzy sets environment85
Brainwave-driven human-robot collaboration in construction85
Automatically learning construction injury precursors from text85
Structural health monitoring and inspection of dams based on UAV photogrammetry with image 3D reconstruction84
Machine-learning based vulnerability analysis of existing buildings84
Computer vision-based interior construction progress monitoring: A literature review and future research directions83
Automatic recognition of tunnel lining elements from GPR images using deep convolutional networks with data augmentation83
Brain-computer interface for hands-free teleoperation of construction robots83
A systematic review and analysis of the viability of 3D-printed construction in remote environments83
Effects of physical fatigue on the induction of mental fatigue of construction workers: A pilot study based on a neurophysiological approach83
Design approaches and typologies of adaptive facades: A review82
BIM-integrated construction safety risk assessment at the design stage of building projects82
Planning for terrestrial laser scanning in construction: A review82
Real-time mixed reality-based visual warning for construction workforce safety81
Multi-objective optimization for improved project management: Current status and future directions80
BIM security: A critical review and recommendations using encryption strategy and blockchain80
A deep learning approach for fast detection and classification of concrete damage79
Towards Civil Engineering 4.0: Concept, workflow and application of Digital Twins for existing infrastructure79
Virtual reality technology in construction safety training: Extended technology acceptance model79
Digital building twins and blockchain for performance-based (smart) contracts78
Distributed common data environment using blockchain and Interplanetary File System for secure BIM-based collaborative design77
Exoskeletons for manual material handling – A review and implication for construction applications77
Development of BIM-integrated construction robot task planning and simulation system76
Flexible and transportable robotic timber construction platform – TIM76
A performance data integrated BIM framework for building life-cycle energy efficiency and environmental optimization design75
Digital twin-based collapse fragility assessment of a long-span cable-stayed bridge under strong earthquakes75
Automatic concrete crack segmentation model based on transformer74
Cyber-physical postural training system for construction workers73
The application of blockchain-based crypto assets for integrating the physical and financial supply chains in the construction & engineering industry73
Pavement anomaly detection based on transformer and self-supervised learning72
Human-object interaction recognition for automatic construction site safety inspection71
Ontological knowledge base for concrete bridge rehabilitation project management71
Forecasting maximum surface settlement caused by urban tunneling70
Blockchain in construction management: Applications, advantages and limitations70
Pavement crack detection based on transformer network69
Automatic inspection data collection of building surface based on BIM and UAV69
Application of weigh-in-motion technologies for pavement and bridge response monitoring: State-of-the-art review69
Improved Mask R-CNN with distance guided intersection over union for GPR signature detection and segmentation69
Artificial intelligence applied to conceptual design. A review of its use in architecture68
Implementing data-driven parametric building design with a flexible toolbox68
ANN-based automated scaffold builder activity recognition through wearable EMG and IMU sensors68
Automatic image-based brick segmentation and crack detection of masonry walls using machine learning68
A review on flood management technologies related to image processing and machine learning67
A multi-user collaborative BIM-AR system to support design and construction67
Real-time detection of cracks in tiled sidewalks using YOLO-based method applied to unmanned aerial vehicle (UAV) images67
AI-based prediction of independent construction safety outcomes from universal attributes67
Computer vision-based construction progress monitoring66
Teaching robots to perform quasi-repetitive construction tasks through human demonstration66
Foam 3D printing for construction: A review of applications, materials, and processes66
Design and implementation of a smart infrastructure digital twin65
Review of image-based analysis and applications in construction65
Bond properties of reinforcing bar penetrations in 3D concrete printing65
3D printing system for earth-based construction: Case study of cob65
A blockchain-based integrated document management framework for construction applications64
Detection, visualization, quantification, and warning of pipe corrosion using distributed fiber optic sensors64
SODA: A large-scale open site object detection dataset for deep learning in construction64
Virtual prototyping- and transfer learning-enabled module detection for modular integrated construction63
Durability properties of 3D printed concrete (3DPC)62
Semi-supervised semantic segmentation network for surface crack detection62
Machine vision-based surface crack analysis for transportation infrastructure62
Intelligent robotic systems for structural health monitoring: Applications and future trends61
Multi-objective optimization for pavement maintenance and rehabilitation decision-making: A critical review and future directions61
Automated crack severity level detection and classification for ballastless track slab using deep convolutional neural network61
Building information Modelling (BIM) application for an existing road infrastructure61
BIM-based graph data model for automatic generative design of modular buildings61
Inspection of surface defects on stay cables using a robot and transfer learning61
Optimized decision support for BIM maturity assessment60
Fully automated generation of parametric BIM for MEP scenes based on terrestrial laser scanning data60
The progress and trend of BIM research: A bibliometrics-based visualization analysis60
Blockchain-aided information exchange records for design liability control and improved security60
Robotic assembly of timber joints using reinforcement learning60
Monitoring distraction of construction workers caused by noise using a wearable Electroencephalography (EEG) device60
Customization of on-site assembly services by integrating the internet of things and BIM technologies in modular integrated construction60
Strain transfer effect in distributed fiber optic sensors under an arbitrary field60
Vision-based autonomous bolt-looseness detection method for splice connections: Design, lab-scale evaluation, and field application60
Rule-based compliance checking and generative design for building interiors using BIM59
Automatic sewer pipe defect semantic segmentation based on improved U-Net59
Towards database-free vision-based monitoring on construction sites: A deep active learning approach59
3D concrete printing for sustainable and economical construction: A comparative study59
Effectiveness of VR crane training with head-mounted display: Double mediation of presence and perceived usefulness59
Semi-supervised learning with GAN for automatic defect detection from images58
Automated decision making in highway pavement preventive maintenance based on deep learning58
Challenges, tasks, and opportunities in teleoperation of excavator toward human-in-the-loop construction automation58
Top 10 technologies for indoor positioning on construction sites58
Technologies for digital twin applications in construction58
Web-GIS approach to preventive conservation of heritage buildings58
Confidentiality-minded framework for blockchain-based BIM design collaboration57
BIM/GIS data integration from the perspective of information flow57
Automated semantic segmentation of industrial point clouds using ResPointNet++57
Automated shape and pose updating of building information model elements from 3D point clouds57
Applications of natural language processing in construction57
Automatic detection of sewer defects based on improved you only look once algorithm57
Unsupervised reconstruction of Building Information Modeling wall objects from point cloud data57
Mechanized construction of fabricated arches for large-diameter tunnels56
A deep learning-based approach for refined crack evaluation from shield tunnel lining images56
Classification of construction hazard-related perceptions using: Wearable electroencephalogram and virtual reality56
A fuzzy-logic IoT lighting and shading control system for smart buildings56
Extending CityGML for IFC-sourced 3D city models56
Recent advancements of robotics in construction55
Road damage detection using super-resolution and semi-supervised learning with generative adversarial network55
Digital design computing and modelling for 3-D concrete printing55
IoT-based detecting, locating and alarming of unauthorized intrusion on construction sites55
BIM-based information system for econo-enviro-friendly end-of-life disposal of construction and demolition waste55
Bioinspired cellular cementitious structures for prefabricated construction: Hybrid design & performance evaluations55
Real-time vision-based worker localization & hazard detection for construction54
Integrated scheduling of suppliers and multi-project activities for green construction supply chains under uncertainty54
Deep learning and infrared thermography for asphalt pavement crack severity classification54
Integrating feature engineering, genetic algorithm and tree-based machine learning methods to predict the post-accident disability status of construction workers53
An evidence of cognitive benefits from immersive design review: Comparing three-dimensional perception and presence between immersive and non-immersive virtual environments53
Automated guided vehicles and autonomous mobile robots for recognition and tracking in civil engineering53
Mapping and modelling defect data from UAV captured images to BIM for building external wall inspection53
Measurement of cable forces for automated monitoring of engineering structures using fiber optic sensors: A review53
An historical building information modelling approach for the preventive conservation of historical constructions: Application to the Historical Library of Salamanca53
A parametric BIM approach to foster bridge project design and analysis52
Vision transformer-based autonomous crack detection on asphalt and concrete surfaces52
Integrated BIM and DfMA parametric and algorithmic design based collaboration for supporting client engagement within offsite construction52
Crane operations and planning in modular integrated construction: Mixed review of literature52
The impact of engineering information formats on learning and execution of construction operations: A virtual reality pipe maintenance experiment51
Automated building extraction using satellite remote sensing imagery51
Mobile indoor mapping technologies: A review51
Performance of concrete beam reinforced with 3D printed Bioinspired primitive scaffold subjected to three-point bending50
Effect of supplementary cementitious materials on properties of 3D printed conventional and alkali-activated concrete: A review50
Challenges of urban digital twins: A systematic review and a Delphi expert survey50
Dynamic prediction of mechanized shield tunneling performance50
Big data for Design Options Repository: Towards a DFMA approach for offsite construction49
Digital twin enhanced BIM to shape full life cycle digital transformation for bridge engineering49
Crack detection algorithm for concrete structures based on super-resolution reconstruction and segmentation network49
Building automation system - BIM integration using a linked data structure49
Machine learning-based regional scale intelligent modeling of building information for natural hazard risk management49
An approach for the automated extraction of road surface distress from a UAV-derived point cloud49
Automated asphalt pavement damage rate detection based on optimized GA-CNN49
Spatio-temporal feature fusion for real-time prediction of TBM operating parameters: A deep learning approach49
Agent-based modeling and simulation in construction49
Manifesting construction activity scenes via image captioning49
Integrated applications of building information modeling and artificial intelligence techniques in the AEC/FM industry48
A critical review of text-based research in construction: Data source, analysis method, and implications48
Review and analysis of augmented reality (AR) literature for digital fabrication in architecture48
The effect of noise content and level on cognitive performance measured by electroencephalography (EEG)48
BIM-based environmental impact assessment for infrastructure design projects48
Automated semantic segmentation of bridge point cloud based on local descriptor and machine learning48
A shared ontology suite for digital construction workflow48
Digital twin-enabled real-time synchronization for planning, scheduling, and execution in precast on-site assembly48
Deep learning-based networks for automated recognition and classification of awkward working postures in construction using wearable insole sensor data48
VoxelPrint: A Grasshopper plug-in for voxel-based numerical simulation of concrete printing48
BIM-based 4D mobile crane simulation and onsite operation management48
Digitalised circular construction supply chain: An integrated BIM-Blockchain solution47
Presenting the best prediction model of water inflow into drill and blast tunnels among several machine learning techniques47
Building performance and maintenance information model based on IFC schema47
Sensitivity analysis of fractal dimensions of crack maps on concrete and masonry walls47
Detecting excessive load-carrying tasks using a deep learning network with a Gramian Angular Field47
Integration of blockchains and smart contracts into construction information flows: Proof-of-concept47
Automated defect inspection of concrete structures47
Surface settlement prediction for urban tunneling using machine learning algorithms with Bayesian optimization47
HBIM for storing life-cycle data regarding decay and damage in existing timber structures47
A field parameters-based method for real-time wear estimation of disc cutter on TBM cutterhead47
AI-based risk assessment for construction site disaster preparedness through deep learning-based digital twinning47
3D printing with cementitious materials: Challenges and opportunities for the construction sector46
BIM-based approach to conduct Life Cycle Cost Analysis of resilient buildings at the conceptual stage46
Understanding the challenges of immersive technology use in the architecture and construction industry: A systematic review46
Automatic region-growing system for the segmentation of large point clouds46
Deep learning-based data analytics for safety in construction46
Blockchain in the AECO industry: Current status, key topics, and future research agenda46
Quantification of water inflow in rock tunnel faces via convolutional neural network approach46
Semantic interpretation of architectural and archaeological geometries: Point cloud segmentation for HBIM parameterisation46
Deep-learning-based visual data analytics for smart construction management46
Machine learning algorithms for monitoring pavement performance46
Structural digital twin framework: Formulation and technology integration46
Integrated worker detection and tracking for the safe operation of construction machinery46
Indoor navigation supported by the Industry Foundation Classes (IFC): A survey45
Activity identification in modular construction using audio signals and machine learning45
Automated extraction of structural elements in steel girder bridges from laser point clouds45
Robot for automatic waste sorting on construction sites45
Crack detection and quantification for concrete structures using UAV and transformer45
Data-driven multi-output prediction for TBM performance during tunnel excavation: An attention-based graph convolutional network approach45
BIM-GIS-DCEs enabled vulnerability assessment of interdependent infrastructures – A case of stormwater drainage-building-road transport Nexus in urban flooding45
Deep learning-based pavement subsurface distress detection via ground penetrating radar data45
Acoustic leak detection approaches for water pipelines45
Attention-guided analysis of infrastructure damage with semi-supervised deep learning45
Integrated pixel-level CNN-FCN crack detection via photogrammetric 3D texture mapping of concrete structures45
Trustworthy AI and robotics: Implications for the AEC industry45
Posture-related data collection methods for construction workers: A review44
Tunnel construction ventilation frequency-control based on radial basis function neural network44
Exit choice in built environment evacuation combining immersive virtual reality and discrete choice modelling44
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