Automation in Construction

Papers
(The median citation count of Automation in Construction is 11. 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 2020-11-01 to 2024-11-01.)
ArticleCitations
Roles of artificial intelligence in construction engineering and management: A critical review and future trends514
Artificial intelligence and smart vision for building and construction 4.0: Machine and deep learning methods and applications307
A BIM-data mining integrated digital twin framework for advanced project management273
Integrated digital twin and blockchain framework to support accountable information sharing in construction projects249
Digital twin and its implementations in the civil engineering sector233
Automatic crack classification and segmentation on masonry surfaces using convolutional neural networks and transfer learning210
Cloud computing in construction industry: Use cases, benefits and challenges205
Machine learning models for predicting the residual value of heavy construction equipment: An evaluation of modified decision tree, LightGBM, and XGBoost regression182
Structural crack detection using deep convolutional neural networks171
On-site autonomous construction robots: Towards unsupervised building170
Construction quality information management with blockchains151
Risk assessment and management of excavation system based on fuzzy set theory and machine learning methods144
Pavement distress detection using convolutional neural networks with images captured via UAV138
A 3D concrete printing prefabrication platform for bespoke columns137
Applications of distributed ledger technology (DLT) and Blockchain-enabled smart contracts in construction135
A real-time detection approach for bridge cracks based on YOLOv4-FPM135
Development of BIM, IoT and AR/VR technologies for fire safety and upskilling131
Deep learning-based road damage detection and classification for multiple countries129
Construction payment automation using blockchain-enabled smart contracts and robotic reality capture technologies124
Attention-based generative adversarial network with internal damage segmentation using thermography122
A smart contract system for security of payment of construction contracts122
Expertise-based bid evaluation for construction-contractor selection with generalized comparative linguistic ELECTRE III121
Knowledge graph for identifying hazards on construction sites: Integrating computer vision with ontology121
Computer vision applications in construction: Current state, opportunities & challenges121
A spatial-channel hierarchical deep learning network for pixel-level automated crack detection118
Real-time monitoring of construction sites: Sensors, methods, and applications114
Automated pixel-level pavement distress detection based on stereo vision and deep learning112
An engineer's guide to eXplainable Artificial Intelligence and Interpretable Machine Learning: Navigating causality, forced goodness, and the false perception of inference111
Artificial intelligence in green building111
Integrated structural health monitoring in bridge engineering109
Voxel-based representation of 3D point clouds: Methods, applications, and its potential use in the construction industry108
Ultra-rapid delivery of specialty field hospitals to combat COVID-19: Lessons learned from the Leishenshan Hospital project in Wuhan103
Pavement asset management systems and technologies: A review103
Combining multi-criteria decision making (MCDM) methods with building information modelling (BIM): A review103
Hard-rock tunnel lithology prediction with TBM construction big data using a global-attention-mechanism-based LSTM network102
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 pandemic99
BIM for facilities management: A framework and a common data environment using open standards99
BIM data flow architecture with AR/VR technologies: Use cases in architecture, engineering and construction98
Automatic recognition of pavement cracks from combined GPR B-scan and C-scan images using multiscale feature fusion deep neural networks98
Data mining in the construction industry: Present status, opportunities, and future trends97
Real-time railroad track components inspection based on the improved YOLOv4 framework97
Dataset and benchmark for detecting moving objects in construction sites96
Intelligent contract adoption in the construction industry: Concept development96
Trajectory control of electro-hydraulic position servo system using improved PSO-PID controller94
Blockchain and the ‘Internet of Things' for the construction industry: research trends and opportunities93
Exploring smart construction objects as blockchain oracles in construction supply chain management93
The classification of construction waste material using a deep convolutional neural network92
Machine learning techniques for pavement condition evaluation92
Real-time multiple damage mapping using autonomous UAV and deep faster region-based neural networks for GPS-denied structures91
Automated structural design of shear wall residential buildings using generative adversarial networks91
Exploratory literature review of blockchain in the construction industry89
Measurement and visualization of strains and cracks in CFRP post-tensioned fiber reinforced concrete beams using distributed fiber optic sensors89
Automatic pixel-level detection of vertical cracks in asphalt pavement based on GPR investigation and improved mask R-CNN89
Brainwave-driven human-robot collaboration in construction88
Structural health monitoring and inspection of dams based on UAV photogrammetry with image 3D reconstruction88
Natural language processing for smart construction: Current status and future directions87
Classification and analysis of deep learning applications in construction: A systematic literature review87
Machine-learning based vulnerability analysis of existing buildings87
Planning for terrestrial laser scanning in construction: A review86
Hazard identification, risk assessment and control for dam construction safety using an integrated BWM and MARCOS approach under interval type-2 fuzzy sets environment86
Design approaches and typologies of adaptive facades: A review86
Brain-computer interface for hands-free teleoperation of construction robots85
Automatic recognition of tunnel lining elements from GPR images using deep convolutional networks with data augmentation85
A systematic review and analysis of the viability of 3D-printed construction in remote environments84
Effects of physical fatigue on the induction of mental fatigue of construction workers: A pilot study based on a neurophysiological approach83
Computer vision-based interior construction progress monitoring: A literature review and future research directions83
BIM-integrated construction safety risk assessment at the design stage of building projects83
Real-time mixed reality-based visual warning for construction workforce safety83
Exoskeletons for manual material handling – A review and implication for construction applications81
BIM security: A critical review and recommendations using encryption strategy and blockchain81
Multi-objective optimization for improved project management: Current status and future directions81
Virtual reality technology in construction safety training: Extended technology acceptance model81
Digital building twins and blockchain for performance-based (smart) contracts80
A deep learning approach for fast detection and classification of concrete damage80
Distributed common data environment using blockchain and Interplanetary File System for secure BIM-based collaborative design80
Towards Civil Engineering 4.0: Concept, workflow and application of Digital Twins for existing infrastructure79
Development of BIM-integrated construction robot task planning and simulation system77
Flexible and transportable robotic timber construction platform – TIM77
A performance data integrated BIM framework for building life-cycle energy efficiency and environmental optimization design76
Digital twin-based collapse fragility assessment of a long-span cable-stayed bridge under strong earthquakes76
Automatic concrete crack segmentation model based on transformer76
The application of blockchain-based crypto assets for integrating the physical and financial supply chains in the construction & engineering industry74
Human-object interaction recognition for automatic construction site safety inspection73
Pavement crack detection based on transformer network73
Pavement anomaly detection based on transformer and self-supervised learning72
Design and implementation of a smart infrastructure digital twin72
Real-time detection of cracks in tiled sidewalks using YOLO-based method applied to unmanned aerial vehicle (UAV) images72
Blockchain in construction management: Applications, advantages and limitations72
Application of weigh-in-motion technologies for pavement and bridge response monitoring: State-of-the-art review72
Automatic inspection data collection of building surface based on BIM and UAV72
Automatic image-based brick segmentation and crack detection of masonry walls using machine learning71
Artificial intelligence applied to conceptual design. A review of its use in architecture71
Ontological knowledge base for concrete bridge rehabilitation project management71
Forecasting maximum surface settlement caused by urban tunneling70
ANN-based automated scaffold builder activity recognition through wearable EMG and IMU sensors70
A review on flood management technologies related to image processing and machine learning70
3D printing system for earth-based construction: Case study of cob69
Improved Mask R-CNN with distance guided intersection over union for GPR signature detection and segmentation69
Review of image-based analysis and applications in construction68
A multi-user collaborative BIM-AR system to support design and construction68
Foam 3D printing for construction: A review of applications, materials, and processes68
Technologies for digital twin applications in construction67
Detection, visualization, quantification, and warning of pipe corrosion using distributed fiber optic sensors67
Computer vision-based construction progress monitoring66
Teaching robots to perform quasi-repetitive construction tasks through human demonstration66
A blockchain-based integrated document management framework for construction applications66
Bond properties of reinforcing bar penetrations in 3D concrete printing65
Durability properties of 3D printed concrete (3DPC)64
Inspection of surface defects on stay cables using a robot and transfer learning64
SODA: A large-scale open site object detection dataset for deep learning in construction64
Intelligent robotic systems for structural health monitoring: Applications and future trends63
Virtual prototyping- and transfer learning-enabled module detection for modular integrated construction63
Automated crack severity level detection and classification for ballastless track slab using deep convolutional neural network62
Semi-supervised semantic segmentation network for surface crack detection62
Semi-supervised learning with GAN for automatic defect detection from images62
Machine vision-based surface crack analysis for transportation infrastructure62
Multi-objective optimization for pavement maintenance and rehabilitation decision-making: A critical review and future directions62
BIM-based graph data model for automatic generative design of modular buildings61
Vision-based autonomous bolt-looseness detection method for splice connections: Design, lab-scale evaluation, and field application61
Optimized decision support for BIM maturity assessment61
Customization of on-site assembly services by integrating the internet of things and BIM technologies in modular integrated construction61
Blockchain-aided information exchange records for design liability control and improved security61
Building information Modelling (BIM) application for an existing road infrastructure61
Fully automated generation of parametric BIM for MEP scenes based on terrestrial laser scanning data60
Automated decision making in highway pavement preventive maintenance based on deep learning60
Rule-based compliance checking and generative design for building interiors using BIM60
Strain transfer effect in distributed fiber optic sensors under an arbitrary field60
Effectiveness of VR crane training with head-mounted display: Double mediation of presence and perceived usefulness60
Automatic sewer pipe defect semantic segmentation based on improved U-Net60
Confidentiality-minded framework for blockchain-based BIM design collaboration60
The progress and trend of BIM research: A bibliometrics-based visualization analysis60
Monitoring distraction of construction workers caused by noise using a wearable Electroencephalography (EEG) device60
3D concrete printing for sustainable and economical construction: A comparative study60
Robotic assembly of timber joints using reinforcement learning60
Challenges, tasks, and opportunities in teleoperation of excavator toward human-in-the-loop construction automation59
Towards database-free vision-based monitoring on construction sites: A deep active learning approach59
Automated guided vehicles and autonomous mobile robots for recognition and tracking in civil engineering59
Automatic detection of sewer defects based on improved you only look once algorithm59
Extending CityGML for IFC-sourced 3D city models58
Recent advancements of robotics in construction58
A deep learning-based approach for refined crack evaluation from shield tunnel lining images58
Automated semantic segmentation of industrial point clouds using ResPointNet++58
BIM/GIS data integration from the perspective of information flow58
Applications of natural language processing in construction57
A fuzzy-logic IoT lighting and shading control system for smart buildings57
Classification of construction hazard-related perceptions using: Wearable electroencephalogram and virtual reality57
Unsupervised reconstruction of Building Information Modeling wall objects from point cloud data57
Automated shape and pose updating of building information model elements from 3D point clouds57
Real-time vision-based worker localization & hazard detection for construction56
Mechanized construction of fabricated arches for large-diameter tunnels56
Digital design computing and modelling for 3-D concrete printing55
Measurement of cable forces for automated monitoring of engineering structures using fiber optic sensors: A review55
Road damage detection using super-resolution and semi-supervised learning with generative adversarial network55
Bioinspired cellular cementitious structures for prefabricated construction: Hybrid design & performance evaluations55
BIM-based information system for econo-enviro-friendly end-of-life disposal of construction and demolition waste55
Integrated BIM and DfMA parametric and algorithmic design based collaboration for supporting client engagement within offsite construction55
A parametric BIM approach to foster bridge project design and analysis54
Vision transformer-based autonomous crack detection on asphalt and concrete surfaces54
Mobile indoor mapping technologies: A review54
Integrating feature engineering, genetic algorithm and tree-based machine learning methods to predict the post-accident disability status of construction workers54
Mapping and modelling defect data from UAV captured images to BIM for building external wall inspection54
An evidence of cognitive benefits from immersive design review: Comparing three-dimensional perception and presence between immersive and non-immersive virtual environments54
Deep learning and infrared thermography for asphalt pavement crack severity classification54
An historical building information modelling approach for the preventive conservation of historical constructions: Application to the Historical Library of Salamanca54
Integrated scheduling of suppliers and multi-project activities for green construction supply chains under uncertainty54
Crack detection algorithm for concrete structures based on super-resolution reconstruction and segmentation network53
Challenges of urban digital twins: A systematic review and a Delphi expert survey53
Automated building extraction using satellite remote sensing imagery53
Crane operations and planning in modular integrated construction: Mixed review of literature52
Automated asphalt pavement damage rate detection based on optimized GA-CNN52
The impact of engineering information formats on learning and execution of construction operations: A virtual reality pipe maintenance experiment52
Integrated applications of building information modeling and artificial intelligence techniques in the AEC/FM industry52
Big data for Design Options Repository: Towards a DFMA approach for offsite construction51
Dynamic prediction of mechanized shield tunneling performance51
Performance of concrete beam reinforced with 3D printed Bioinspired primitive scaffold subjected to three-point bending51
Effect of supplementary cementitious materials on properties of 3D printed conventional and alkali-activated concrete: A review51
Integration of blockchains and smart contracts into construction information flows: Proof-of-concept50
A field parameters-based method for real-time wear estimation of disc cutter on TBM cutterhead50
Digital twin enhanced BIM to shape full life cycle digital transformation for bridge engineering50
Machine learning-based regional scale intelligent modeling of building information for natural hazard risk management50
Deep learning-based networks for automated recognition and classification of awkward working postures in construction using wearable insole sensor data50
VoxelPrint: A Grasshopper plug-in for voxel-based numerical simulation of concrete printing50
An approach for the automated extraction of road surface distress from a UAV-derived point cloud50
The effect of noise content and level on cognitive performance measured by electroencephalography (EEG)49
Acoustic leak detection approaches for water pipelines49
Agent-based modeling and simulation in construction49
Crack detection and quantification for concrete structures using UAV and transformer49
Spatio-temporal feature fusion for real-time prediction of TBM operating parameters: A deep learning approach49
Manifesting construction activity scenes via image captioning49
Digital twin-enabled real-time synchronization for planning, scheduling, and execution in precast on-site assembly49
Presenting the best prediction model of water inflow into drill and blast tunnels among several machine learning techniques49
A critical review of text-based research in construction: Data source, analysis method, and implications49
3D vision technologies for a self-developed structural external crack damage recognition robot48
AI-based risk assessment for construction site disaster preparedness through deep learning-based digital twinning48
Integrated worker detection and tracking for the safe operation of construction machinery48
Surface settlement prediction for urban tunneling using machine learning algorithms with Bayesian optimization48
BIM-based 4D mobile crane simulation and onsite operation management48
Understanding the challenges of immersive technology use in the architecture and construction industry: A systematic review48
Automated semantic segmentation of bridge point cloud based on local descriptor and machine learning48
A shared ontology suite for digital construction workflow48
Digitalised circular construction supply chain: An integrated BIM-Blockchain solution48
BIM-based environmental impact assessment for infrastructure design projects48
Automated defect inspection of concrete structures48
Review and analysis of augmented reality (AR) literature for digital fabrication in architecture48
Deep learning-based data analytics for safety in construction47
Machine learning algorithms for monitoring pavement performance47
Detecting excessive load-carrying tasks using a deep learning network with a Gramian Angular Field47
Attention-guided analysis of infrastructure damage with semi-supervised deep learning47
Blockchain in the AECO industry: Current status, key topics, and future research agenda47
BIM-based approach to conduct Life Cycle Cost Analysis of resilient buildings at the conceptual stage47
Automatic region-growing system for the segmentation of large point clouds47
Indoor navigation supported by the Industry Foundation Classes (IFC): A survey47
3D printing with cementitious materials: Challenges and opportunities for the construction sector47
Structural digital twin framework: Formulation and technology integration47
Semantic interpretation of architectural and archaeological geometries: Point cloud segmentation for HBIM parameterisation47
Data-driven multi-output prediction for TBM performance during tunnel excavation: An attention-based graph convolutional network approach47
Deep-learning-based visual data analytics for smart construction management46
Trustworthy AI and robotics: Implications for the AEC industry46
Vision-based monitoring of site safety compliance based on worker re-identification and personal protective equipment classification46
Automated extraction of structural elements in steel girder bridges from laser point clouds46
Robot for automatic waste sorting on construction sites46
Deep learning-based pavement subsurface distress detection via ground penetrating radar data46
BIM-GIS-DCEs enabled vulnerability assessment of interdependent infrastructures – A case of stormwater drainage-building-road transport Nexus in urban flooding46
Quantification of water inflow in rock tunnel faces via convolutional neural network approach46
Concrete dam damage detection and localisation based on YOLOv5s-HSC and photogrammetric 3D reconstruction46
Integrated pixel-level CNN-FCN crack detection via photogrammetric 3D texture mapping of concrete structures46
BIM integrated smart contract for construction project progress payment administration45
Activity identification in modular construction using audio signals and machine learning45
A vision-based approach for automatic progress tracking of floor paneling in offsite construction facilities45
Exit choice in built environment evacuation combining immersive virtual reality and discrete choice modelling45
Artificial intelligence for the modeling of water pipes deterioration mechanisms45
Multi-criteria decision analysis for tower crane layout planning in high-rise modular integrated construction45
Accident prediction in construction using hybrid wavelet-machine learning44
Geo-registering UAV-captured close-range images to GIS-based spatial model for building façade inspections44
Wireless cement-based sensor for self-monitoring of railway concrete infrastructures44
3D printing for remote housing: Benefits and challenges44
Reconstructing BIM from 2D structural drawings for existing buildings44
Posture-related data collection methods for construction workers: A review44
Sewer defect detection from 3D point clouds using a transformer-based deep learning model44
Exploring graph neural networks for semantic enrichment: Room type classification44
Conservation data parameters for BIM-enabled heritage asset management44
Towards on-site hazards identification of improper use of personal protective equipment using deep learning-based geometric relationships and hierarchical scene graph43
Appraising seismic vulnerability of masonry aggregates through an automated mechanical-typological approach43
Comparison of online and offline deep reinforcement learning with model predictive control for thermal energy management43
Machine learning forecasting models of disc cutters life of tunnel boring machine43
Adaptive fractional-order fast terminal sliding mode with fault-tolerant control for underactuated mechanical systems: Application to tower cranes43
Tracking multiple construction workers through deep learning and the gradient based method with re-matching based on multi-object tracking accuracy43
A deep neural network-based method for deep information extraction using transfer learning strategies to support automated compliance checking43
Structural displacement estimation by fusing vision camera and accelerometer using hybrid computer vision algorithm and adaptive multi-rate Kalman filter43
Activity recognition of construction equipment using fractional random forest43
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