On the public citation graph
Action recognition of earthmoving excavators based on sequential pattern analysis of visual features and operation cycles
0 signed · 218 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/j.aei.2011.04.001openalex-snapshot
A performance evaluation of vision and radio frequency tracking methods for interacting workforce
inferredcites →https://doi.org/10.1016/j.aei.2011.06.002openalex-snapshot
Learning and classifying actions of construction workers and equipment using Bag-of-Video-Feature-Words and Bayesian network models
inferredcites →https://doi.org/10.1016/j.aei.2013.09.001openalex-snapshot
Vision-based action recognition of earthmoving equipment using spatio-temporal features and support vector machine classifiers
inferredcites →https://doi.org/10.1016/j.aei.2015.02.001openalex-snapshot
Computer vision techniques for construction safety and health monitoring
inferredcites →https://doi.org/10.1016/j.aei.2015.03.006openalex-snapshot
Status quo and open challenges in vision-based sensing and tracking of temporary resources on infrastructure construction sites
inferredcites →https://doi.org/10.1016/j.aei.2018.01.001openalex-snapshot
A deep learning-based method for detecting non-certified work on construction sites
inferredcites →https://doi.org/10.1016/j.aei.2018.05.003openalex-snapshot
Automated detection of workers and heavy equipment on construction sites: A convolutional neural network approach
inferredcites →https://doi.org/10.1016/j.autcon.2011.05.005openalex-snapshot
An object recognition, tracking, and contextual reasoning-based video interpretation method for rapid productivity analysis of construction operations
inferredcites →https://doi.org/10.1016/j.autcon.2012.03.003openalex-snapshot
Part based model and spatial–temporal reasoning to recognize hydraulic excavators in construction images and videos
inferredcites →https://doi.org/10.1016/j.autcon.2014.08.002openalex-snapshot
Spatial factors affecting the loading efficiency of excavators
inferredcites →https://doi.org/10.1016/j.autcon.2015.03.006openalex-snapshot
Optimization-based excavator pose estimation using real-time location systems
inferredcites →https://doi.org/10.1016/j.autcon.2016.08.015openalex-snapshot
Smartphone-based construction workers' activity recognition and classification
inferredcites →https://doi.org/10.1016/j.autcon.2017.04.010openalex-snapshot
Collective sensing of workers' gait patterns to identify fall hazards in construction
inferredcites →https://doi.org/10.1016/j.autcon.2017.06.023openalex-snapshot
Skeleton estimation of excavator by detecting its parts
inferredcites →https://doi.org/10.1016/j.autcon.2017.09.018openalex-snapshot
Detecting non-hardhat-use by a deep learning method from far-field surveillance videos
inferredcites →https://doi.org/10.1016/j.autcon.2017.11.002openalex-snapshot
A deep hybrid learning model to detect unsafe behavior: Integrating convolution neural networks and long short-term memory
inferredcites →https://doi.org/10.1016/j.autcon.2017.12.014openalex-snapshot
Application of dynamic time warping to the recognition of mixed equipment activities in cycle time measurement
inferredcites →https://doi.org/10.1016/j.autcon.2017.12.016openalex-snapshot
Interaction analysis for vision-based activity identification of earthmoving excavators and dump trucks
inferredcites →https://doi.org/10.1016/j.autcon.2018.02.018openalex-snapshot
Falls from heights: A computer vision-based approach for safety harness detection
inferredcites →https://doi.org/10.1016/j.autcon.2018.04.002openalex-snapshot
Analyzing context and productivity of tunnel earthmoving processes using imaging and simulation
inferredcites →https://doi.org/10.1061/(asce)0887-3801(2007)21:4(238)openalex-snapshot
Using Hue, Saturation, and Value Color Space for Hydraulic Excavator Idle Time Analysis
inferredcites →https://doi.org/10.1061/(asce)co.1943-7862.0000438openalex-snapshot
Image-Based Safety Assessment: Automated Spatial Safety Risk Identification of Earthmoving and Surface Mining Activities
inferredcites →https://doi.org/10.1061/(asce)co.1943-7862.0000652openalex-snapshot
Server-Customer Interaction Tracker: Computer Vision–Based System to Estimate Dirt-Loading Cycles
inferredcites →https://doi.org/10.1061/(asce)co.1943-7862.0001636openalex-snapshot
Systematic Camera Placement Framework for Operation-Level Visual Monitoring on Construction Jobsites
inferredcites →https://doi.org/10.1061/(asce)cp.1943-5487.0000027openalex-snapshot
Computer Vision-Based Video Interpretation Model for Automated Productivity Analysis of Construction Operations
inferredcites →https://doi.org/10.1061/(asce)cp.1943-5487.0000242openalex-snapshot
Vision-Based Tower Crane Tracking for Understanding Construction Activity
inferredcites →https://doi.org/10.1061/(asce)cp.1943-5487.0000337openalex-snapshot
Application of Low-Cost Accelerometers for Measuring the Operational Efficiency of a Construction Equipment Fleet
inferredcites →https://doi.org/10.1061/(asce)cp.1943-5487.0000677openalex-snapshot
Adaptive Detector and Tracker on Construction Sites Using Functional Integration and Online Learning
inferredcites →https://doi.org/10.1061/(asce)cp.1943-5487.0000731openalex-snapshot
Detecting Construction Equipment Using a Region-Based Fully Convolutional Network and Transfer Learning
inferredcites →https://doi.org/10.1061/(asce)cp.1943-5487.0000756openalex-snapshot
Recognizing Diverse Construction Activities in Site Images via Relevance Networks of Construction-Related Objects Detected by Convolutional Neural Networks
inferredcites →https://doi.org/10.1061/(asce)cp.1943-5487.0000783openalex-snapshot
Framework for Location Data Fusion and Pose Estimation of Excavators Using Stereo Vision
inferredcites →https://doi.org/10.1061/9780784480830.021openalex-snapshot
Vision-Based Activity Analysis Framework Considering Interactive Operation of Construction Equipment
inferredcites →https://doi.org/10.1109/5.726791openalex-snapshot
Gradient-based learning applied to document recognition
inferredcites →https://doi.org/10.1109/tpami.2016.2577031openalex-snapshot
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
inferredcites →https://doi.org/10.1109/tpami.2016.2599174openalex-snapshot
Long-Term Recurrent Convolutional Networks for Visual Recognition and Description
inferredcites →https://doi.org/10.1111/j.1467-8667.2008.00580.xopenalex-snapshot
A Methodology for Object Identification and Tracking in Construction Based on Spatial Modeling and Image Matching Techniques
inferredcites →https://doi.org/10.1111/j.1467-8667.2010.00690.xopenalex-snapshot
Automated Object Identification Using Optical Video Cameras on Construction Sites
inferredcites →https://doi.org/10.1111/mice.12235openalex-snapshot
Fusion of Photogrammetry and Video Analysis for Productivity Assessment of Earthwork Processes
inferredcites →https://doi.org/10.1111/mice.12419openalex-snapshot
Capturing and Understanding Workers’ Activities in Far-Field Surveillance Videos with Deep Action Recognition and Bayesian Nonparametric Learning
inferredcites →https://doi.org/10.1139/l05-124openalex-snapshot
Simulation analysis of productivity variation by global positioning system (GPS) implementation in earthmoving operations
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.22260/isarc2010openalex-snapshot
Proceedings -- The 27th International Symposium on Automation and Robotics in Construction
inferredcites →https://doi.org/10.22260/isarc2018/0102openalex-snapshot
Camera Placement Optimization for Vision-based Monitoring on Construction Sites
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4640459openalex-extracted
A Review of Computer Vision Applications for Construction Goals Management: Current Status and Future Directions
inferred← citeshttps://doi.org/10.1007/978-3-031-34728-3_13openalex-snapshot
Artificial Intelligence and Deep Learning in Civil Engineering
inferred← citeshttps://doi.org/10.1007/978-3-031-84208-5_57openalex-snapshot
An Automated Vision-Based Construction Efficiency Evaluation System with Recognizing Worker’s Activities and Counting Effective Working Hours
inferred← citeshttps://doi.org/10.1007/978-3-032-07738-7_1openalex-snapshot
Recent Advences of Artificial Intelligence in Civil Engineering
inferred← citeshttps://doi.org/10.1007/978-3-032-21139-2_15openalex-snapshot
Resolving High Carbon Steel Carrier Pin Failure in Swing Device of Excavators by Improving Heat Treatment Process
inferred← citeshttps://doi.org/10.1007/s00170-025-17047-9openalex-snapshot
Equipment-centric workpiece localization in near real-time using deep learning-based vision and event-driven finite state machines
inferred← citeshttps://doi.org/10.1007/s11227-022-04803-xopenalex-snapshot
Computer vision-based deep learning for supervising excavator operations and measuring real-time earthwork productivity
inferred← citeshttps://doi.org/10.1007/s11709-025-1197-0openalex-snapshot
Web-based multi-vision platform for earthwork productivity on construction sites using real-time model updating
inferred← citeshttps://doi.org/10.1007/s12555-024-0624-7openalex-snapshot
An Internal Model Disturbance Observer Based Robust Trajectory Tracking Control for Articulated Manipulators
inferred← citeshttps://doi.org/10.1007/s41693-024-00130-0openalex-snapshot
Automatic recognition of excavator working cycles using supervised learning and motion data obtained from inertial measurement units (IMUs)
inferred← citeshttps://doi.org/10.1007/s42524-024-3128-5openalex-snapshot
Artificial intelligence in infrastructure construction: A critical review
inferred← citeshttps://doi.org/10.1016/j.aei.2021.101372openalex-snapshot
A semi-supervised learning detection method for vision-based monitoring of construction sites by integrating teacher-student networks and data augmentation
inferred← citeshttps://doi.org/10.1016/j.aei.2022.101699openalex-snapshot
Vision-based method for semantic information extraction in construction by integrating deep learning object detection and image captioning
inferred← citeshttps://doi.org/10.1016/j.aei.2024.102785openalex-snapshot
Data augmentation aided excavator activity recognition using deep convolutional conditional generative adversarial networks
inferred← citeshttps://doi.org/10.1016/j.aei.2024.102899openalex-snapshot
In-vehicle vision-based automatic identification of bulldozer operation cycles with temporal action detection
inferred← citeshttps://doi.org/10.1016/j.aei.2025.103691openalex-snapshot
Temporal sequence-based object detection and action recognition for mobile machinery on construction sites
inferred← citeshttps://doi.org/10.1016/j.aei.2025.103869openalex-snapshot
Ontology-based prompting with large language models for inferring construction activities from construction images
inferred← citeshttps://doi.org/10.1016/j.asoc.2023.111174openalex-snapshot
Artificial neural networks applications in construction and building engineering (1991–2021): Science mapping and visualization
inferred← citeshttps://doi.org/10.1016/j.autcon.2019.102991openalex-snapshot
Intelligent identification for working-cycle stages of excavator based on main pump pressure
inferred← citeshttps://doi.org/10.1016/j.autcon.2019.103045openalex-snapshot
Automated excavators activity recognition and productivity analysis from construction site surveillance videos
inferred← citeshttps://doi.org/10.1016/j.autcon.2020.103116openalex-snapshot
Context-based information generation for managing UAV-acquired data using image captioning
inferred← citeshttps://doi.org/10.1016/j.autcon.2020.103121openalex-snapshot
Multi-camera vision-based productivity monitoring of earthmoving operations
inferred← citeshttps://doi.org/10.1016/j.autcon.2020.103138openalex-snapshot
Construction activity recognition with convolutional recurrent networks
inferred← citeshttps://doi.org/10.1016/j.autcon.2020.103198openalex-snapshot
Image augmentation to improve construction resource detection using generative adversarial networks, cut-and-paste, and image transformation techniques
inferred← citeshttps://doi.org/10.1016/j.autcon.2020.103376openalex-snapshot
Towards database-free vision-based monitoring on construction sites: A deep active learning approach
inferred← citeshttps://doi.org/10.1016/j.autcon.2020.103444openalex-snapshot
Construction machine pose prediction considering historical motions and activity attributes using gated recurrent unit (GRU)
inferred← citeshttps://doi.org/10.1016/j.autcon.2020.103465openalex-snapshot
Activity recognition of construction equipment using fractional random forest
inferred← citeshttps://doi.org/10.1016/j.autcon.2020.103516openalex-snapshot
Review of image-based analysis and applications in construction
inferred← citeshttps://doi.org/10.1016/j.autcon.2021.103566openalex-snapshot
A few-shot learning approach for database-free vision-based monitoring on construction sites
inferred← citeshttps://doi.org/10.1016/j.autcon.2021.103572openalex-snapshot
Temporal image analytics for abnormal construction activity identification
inferred← citeshttps://doi.org/10.1016/j.autcon.2021.103872openalex-snapshot
Vision–based framework for automatic interpretation of construction workers' hand gestures
inferred← citeshttps://doi.org/10.1016/j.autcon.2021.103873openalex-snapshot
Working stage identification of excavators based on control signals of operating handles
inferred← citeshttps://doi.org/10.1016/j.autcon.2021.103892openalex-snapshot
Deep-learning-based visual data analytics for smart construction management
inferred← citeshttps://doi.org/10.1016/j.autcon.2021.104034openalex-snapshot
Application of one-stage instance segmentation with weather conditions in surveillance cameras at construction sites
inferred← citeshttps://doi.org/10.1016/j.autcon.2022.104141openalex-snapshot
Development of training image database using web crawling for vision-based site monitoring
inferred← citeshttps://doi.org/10.1016/j.autcon.2022.104148openalex-snapshot
Vision-based method for tracking workers by integrating deep learning instance segmentation in off-site construction
inferred← citeshttps://doi.org/10.1016/j.autcon.2022.104343openalex-snapshot
Machine learning-based real-time tracking for concrete vibration
inferred← citeshttps://doi.org/10.1016/j.autcon.2022.104401openalex-snapshot
Feature-based sensor configuration and working-stage recognition of wheel loader
inferred← citeshttps://doi.org/10.1016/j.autcon.2022.104428openalex-snapshot
Sensing, perception, decision, planning and action of autonomous excavators
inferred← citeshttps://doi.org/10.1016/j.autcon.2022.104435openalex-snapshot
Excavator joint node-based pose estimation using lightweight fully convolutional network
inferred← citeshttps://doi.org/10.1016/j.autcon.2022.104443openalex-snapshot
Graph neural network-based propagation effects modeling for detecting visual relationships among construction resources
inferred← citeshttps://doi.org/10.1016/j.autcon.2022.104491openalex-snapshot
Mutually coupled detection and tracking of trucks for monitoring construction material arrival delays
inferred← citeshttps://doi.org/10.1016/j.autcon.2022.104535openalex-snapshot
Automatic construction site hazard identification integrating construction scene graphs with BERT based domain knowledge
inferred← citeshttps://doi.org/10.1016/j.autcon.2022.104702openalex-snapshot
Automatic vision-based calculation of excavator earthmoving productivity using zero-shot learning activity recognition
inferred← citeshttps://doi.org/10.1016/j.autcon.2022.104703openalex-snapshot
Transformer-based deep learning model and video dataset for unsafe action identification in construction projects
inferred← citeshttps://doi.org/10.1016/j.autcon.2023.104771openalex-snapshot
Hybrid DNN training using both synthetic and real construction images to overcome training data shortage
inferred← citeshttps://doi.org/10.1016/j.autcon.2023.104886openalex-snapshot
Site-optimized training image database development using web-crawled and synthetic images
inferred← citeshttps://doi.org/10.1016/j.autcon.2023.105001openalex-snapshot
Self-supervised contrastive video representation learning for construction equipment activity recognition on limited dataset
inferred← citeshttps://doi.org/10.1016/j.autcon.2023.105080openalex-snapshot
Automatic estimation of excavator actual and relative cycle times in loading operations
inferred← citeshttps://doi.org/10.1016/j.autcon.2023.105162openalex-snapshot
Vision-based excavator pose estimation for automatic control
inferred← citeshttps://doi.org/10.1016/j.autcon.2023.105195openalex-snapshot
Contextual multimodal approach for recognizing concurrent activities of equipment in tunnel construction projects
inferred← citeshttps://doi.org/10.1016/j.autcon.2024.105443openalex-snapshot
AI integration in construction safety: Current state, challenges, and future opportunities in text, vision, and audio based applications
inferred← citeshttps://doi.org/10.1016/j.autcon.2024.105494openalex-snapshot
Deep learning-based object detection for dynamic construction site management
inferred← citeshttps://doi.org/10.1016/j.autcon.2024.105495openalex-snapshot
Dump truck activity recognition using vibration signal and convolutional neural network
inferred← citeshttps://doi.org/10.1016/j.autcon.2024.105508openalex-snapshot
Construction workers' unsafe behavior detection through adaptive spatiotemporal sampling and optimized attention based video monitoring
inferred← citeshttps://doi.org/10.1016/j.autcon.2024.105771openalex-snapshot
Tracking multiple construction workers using pose estimation and feature-assisted re-identification model
inferred← citeshttps://doi.org/10.1016/j.autcon.2024.105874openalex-snapshot
Automated daily report generation from construction videos using ChatGPT and computer vision
inferred← citeshttps://doi.org/10.1016/j.autcon.2025.106099openalex-snapshot
Deep learning-based automated method for enhancing excavator activity recognition in far-field construction site surveillance videos
inferred← citeshttps://doi.org/10.1016/j.autcon.2025.106211openalex-snapshot
UAV-based automated earthwork progress monitoring using deep learning with image inpainting
inferred← citeshttps://doi.org/10.1016/j.autcon.2025.106476openalex-snapshot
Influence of data source and volume on CNN applications in construction
inferred← citeshttps://doi.org/10.1016/j.autcon.2025.106481openalex-snapshot
Computer vision and process mining-based simulation model generation for construction planning and control
inferred← citeshttps://doi.org/10.1016/j.autcon.2025.106662openalex-snapshot
Automated action and motion recognition for excavator operations using egocentric videos
inferred← citeshttps://doi.org/10.1016/j.autcon.2025.106757openalex-snapshot
Depth-aware detection of hanging objects for state reasoning in construction sites
inferred← citeshttps://doi.org/10.1016/j.autcon.2026.106768openalex-snapshot
Construction productivity and digital technologies
inferred← citeshttps://doi.org/10.1016/j.autcon.2026.106844openalex-snapshot
Head-mounted first-person view camera-based worker action recognition using visual SLAM
inferred← citeshttps://doi.org/10.1016/j.buildenv.2020.106737openalex-snapshot
Device-free occupant activity recognition in smart offices using intrinsic Wi-Fi components
inferred← citeshttps://doi.org/10.1016/j.buildenv.2020.107092openalex-snapshot
Occupant behavior monitoring and emergency event detection in single-person households using deep learning-based sound recognition
inferred← citeshttps://doi.org/10.1016/j.dibe.2025.100832openalex-snapshot
Automated construction monitoring based on computer vision: A comprehensive review
inferred← citeshttps://doi.org/10.1016/j.enbuild.2024.114130openalex-snapshot
Time-series data clustering with load-shape preservation for identifying residential energy consumption behaviors
inferred← citeshttps://doi.org/10.1016/j.energy.2026.140925openalex-snapshot
Real-world operating characteristics of hydraulic excavators: A large-sample empirical study and implications for energy efficiency optimization
inferred← citeshttps://doi.org/10.1016/j.engappai.2023.106179openalex-snapshot
Gaze-aware hand gesture recognition for intelligent construction
inferred← citeshttps://doi.org/10.1016/j.engappai.2023.106564openalex-snapshot
Simulation-based decision support system for earthmoving operations using computer vision
inferred← citeshttps://doi.org/10.1016/j.engappai.2023.106992openalex-snapshot
Material handling machine activity recognition by context ensemble with gated recurrent units
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.121525openalex-snapshot
Keypoints-based Heterogeneous Graph Convolutional Networks for construction
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.128540openalex-snapshot
A robust machinery action recognition in construction using a mixed graph convolution block
inferred← citeshttps://doi.org/10.1016/j.jobe.2021.102709openalex-snapshot
Hybrid kinematic–visual sensing approach for activity recognition of construction equipment
inferred← citeshttps://doi.org/10.1016/j.jvcir.2025.104460openalex-snapshot
Rotation translation matrices analysis method for action recognition of construction equipment
inferred← citeshttps://doi.org/10.1016/j.measurement.2025.118567openalex-snapshot
Improved detection and reidentification algorithm for natural gas pipeline excavator dynamic tracking based on deep learning
inferred← citeshttps://doi.org/10.1016/j.measurement.2025.119111openalex-snapshot
Quantifying the control lever displacement of construction equipment via QR code detection
inferred← citeshttps://doi.org/10.1016/j.microc.2025.115185openalex-snapshot
Smart mapping of recyclable construction materials using UAV remote sensing and optimised YOLOv8 deep learning within a GIS framework
inferred← citeshttps://doi.org/10.1016/j.powtec.2022.118088openalex-snapshot
Investigation of performance of hydraulic excavators by co-simulation of multibody dynamics and discrete element method
inferred← citeshttps://doi.org/10.1016/j.powtec.2024.119539openalex-snapshot
Performance analysis of hydraulic excavators in complex excavation environments and different bucket trajectories
inferred← citeshttps://doi.org/10.1016/j.powtec.2024.120219openalex-snapshot
Numerical investigation of bucket wear and excavation performance with non-spherical materials
inferred← citeshttps://doi.org/10.1016/j.rineng.2025.108611openalex-snapshot
Excavator activity recognition under occlusion via multi-camera deep learning
inferred← citeshttps://doi.org/10.1016/j.rser.2021.111076openalex-snapshot
Developments in energy regeneration technologies for hydraulic excavators: A review
inferred← citeshttps://doi.org/10.1016/j.ssci.2020.105130openalex-snapshot
Computer vision technologies for safety science and management in construction: A critical review and future research directions
inferred← citeshttps://doi.org/10.1016/j.tws.2024.112380openalex-snapshot
Digital twin method for intelligent lifting of cable structures under multi-collaborative mode
inferred← citeshttps://doi.org/10.1016/j.tws.2025.113734openalex-snapshot
Digital twin-based expression and operation method for the intelligent construction unit of the cable structure
inferred← citeshttps://doi.org/10.1016/j.ymssp.2026.114842openalex-snapshot
End-to-End predictive modeling of excavator hydraulic systems
inferred← citeshttps://doi.org/10.1017/s0263574722000339openalex-snapshot
Robotic autonomous systems for earthmoving equipment operating in volatile conditions and teaming capacity: a survey
inferred← citeshttps://doi.org/10.1061/(asce)co.1943-7862.0001843openalex-snapshot
Automated Methods for Activity Recognition of Construction Workers and Equipment: State-of-the-Art Review
inferred← citeshttps://doi.org/10.1061/(asce)cp.1943-5487.0000898openalex-snapshot
Vision-Based Construction Worker Activity Analysis Informed by Body Posture
inferred← citeshttps://doi.org/10.1061/(asce)cp.1943-5487.0000945openalex-snapshot
Development of an Image Data Set of Construction Machines for Deep Learning Object Detection
inferred← citeshttps://doi.org/10.1061/(asce)cp.1943-5487.0000957openalex-snapshot
Vision-Based Method Integrating Deep Learning Detection for Tracking Multiple Construction Machines
inferred← citeshttps://doi.org/10.1061/(asce)cp.1943-5487.0000981openalex-snapshot
Automatic Identification of Idling Reasons in Excavation Operations Based on Excavator–Truck Relationships
inferred← citeshttps://doi.org/10.1061/(asce)cp.1943-5487.0001017openalex-snapshot
Critical Review and Road Map of Automated Methods for Earthmoving Equipment Productivity Monitoring
inferred← citeshttps://doi.org/10.1061/(asce)cp.1943-5487.0001024openalex-snapshot
Two-Dimensional and Three-Dimensional CNN-Based Simultaneous Detection and Activity Classification of Construction Workers
inferred← citeshttps://doi.org/10.1061/9780784483893.028openalex-snapshot
Training a Visual Scene Understanding Model Only with Synthetic Construction Images
inferred← citeshttps://doi.org/10.1061/9780784486139.097openalex-snapshot
Synthesizing Reality: Leveraging the Generative AI-Powered Platform Midjourney for Construction Worker Detection
inferred← citeshttps://doi.org/10.1061/jccee5.cpeng-5105openalex-snapshot
Vision-Based Productivity Monitoring of Tower Crane Operations during Curtain Wall Installation Using a Database-Free Approach
inferred← citeshttps://doi.org/10.1061/jccee5.cpeng-6178openalex-snapshot
Computer Vision-Based Intelligent Monitoring of Disruptions due to Construction Machinery Arrival Delay
inferred← citeshttps://doi.org/10.1061/jccee5.cpeng-6587openalex-snapshot
Real-Time Monitoring of Mobile Construction Resources Based on Multiple Object Tracking
inferred← citeshttps://doi.org/10.1061/jcemd4.coeng-14194openalex-snapshot
Automatic Vision-Based Dump Truck Productivity Measurement Based on Deep-Learning Illumination Enhancement for Low-Visibility Harsh Construction Environment
inferred← citeshttps://doi.org/10.1061/jcemd4.coeng-14718openalex-snapshot
Deep Learning-Based Image Steganography for Visual Data Cybersecurity in Construction Management
inferred← citeshttps://doi.org/10.1061/jcemd4.coeng-14807openalex-snapshot
Research on Energy-Saving Control Strategy of Loader Based on Intelligent Identification of Working Stages
inferred← citeshttps://doi.org/10.1061/jcemd4.coeng-16953openalex-snapshot
Digital Twin for Autonomous Operation of Earthmoving Equipment
inferred← citeshttps://doi.org/10.1061/jcemd4.coeng-18079openalex-snapshot
Operational Phase Recognition and Power Matching under Shoveling Conditions in an Autonomous Loading Mobile Concrete Mixer
inferred← citeshttps://doi.org/10.1080/01691864.2021.1980101openalex-snapshot
An individual prediction model of the pre-loading motion for operator and backhoe pairs
inferred← citeshttps://doi.org/10.1080/13467581.2025.2472726openalex-snapshot
Duration-cost optimization in earthmoving operations using NSGA-II and simulation techniques
inferred← citeshttps://doi.org/10.1080/17480930.2023.2290364openalex-snapshot
Automatic excavator action recognition and localisation for untrimmed video using hybrid LSTM-Transformer networks
inferred← citeshttps://doi.org/10.1080/19475705.2024.2322492openalex-snapshot
Enhancing dragline operations supervision through computer vision: real time height measurement of dragline spoil piles dump using YOLO
inferred← citeshttps://doi.org/10.1088/1755-1315/1101/9/092003openalex-snapshot
Long video-based action segmentation for earthmoving excavators using improved Temporal Convolutional Network models
inferred← citeshttps://doi.org/10.1108/ecam-01-2024-0020openalex-snapshot
Unmanned ground vehicle (UGV) based automated construction progress measurement of road using LSTM
inferred← citeshttps://doi.org/10.1108/ecam-05-2022-0476openalex-snapshot
Pose estimation method for construction machine based on improved AlphaPose model
inferred← citeshttps://doi.org/10.1108/ecam-06-2025-0979openalex-snapshot
Dataset and benchmark for captioning images depicting complex construction activities
inferred← citeshttps://doi.org/10.1109/access.2022.3209818openalex-snapshot
Overview of Emerging Technologies for Improving the Performance of Heavy-Duty Construction Machines
inferred← citeshttps://doi.org/10.1109/ascc70886.2026.11702485openalex-snapshot
Coarse-to-Fine Omni-Scale Hierarchical Classification of Excavator Working Conditions
inferred← citeshttps://doi.org/10.1109/iccad57653.2023.10152357openalex-snapshot
Vision-based Explainable Action Recognition Model for Polluted Soil Tracking
inferred← citeshttps://doi.org/10.1109/icra57385.2026.11696462openalex-snapshot
EXOM: An Excavator Operation Monitoring Framework with Onboard Vision and Sensor Data
inferred← citeshttps://doi.org/10.1109/ieeeconf49454.2021.9382735openalex-snapshot
Effects of Video Filters for Learning an Action Recognition Model for Construction Machinery from Simulated Training Data
inferred← citeshttps://doi.org/10.1109/iros45743.2020.9340697openalex-snapshot
Prediction of Backhoe Loading Motion via the Beta-Process Hidden Markov Model
inferred← citeshttps://doi.org/10.1111/mice.12695openalex-snapshot
3D convolutional neural network‐based one‐stage model for real‐time action detection in video of construction equipment
inferred← citeshttps://doi.org/10.1111/mice.12701openalex-snapshot
Deep semantic segmentation for visual understanding on construction sites
inferred← citeshttps://doi.org/10.1111/mice.12940openalex-snapshot
Anchor-free arbitrary-oriented construction vehicle detection with orientation-aware Gaussian heatmap
inferred← citeshttps://doi.org/10.1111/mice.12983openalex-snapshot
Visual–auditory learning network for construction equipment action detection
inferred← citeshttps://doi.org/10.1111/mice.13157openalex-snapshot
Improving single‐stage activity recognition of excavators using knowledge distillation of temporal gradient data
inferred← citeshttps://doi.org/10.1111/mice.13506openalex-snapshot
Zero‐shot framework for construction equipment task monitoring
inferred← citeshttps://doi.org/10.1117/12.2602988openalex-snapshot
Working stage identification of hydraulic excavator
inferred← citeshttps://doi.org/10.1139/cjce-2024-0202openalex-snapshot
Synthetizing virtual construction images to strengthen real data volume and variety in real-world application scenarios
inferred← citeshttps://doi.org/10.1145/3447450.3447467openalex-snapshot
Using Temporal Convolutional Networks to Enable Action Recognition for Construction Equipment
inferred← citeshttps://doi.org/10.1145/3582177.3582191openalex-snapshot
Penetration Point Detection for Autonomous Trench Excavation Based on Binocular Vision
inferred← citeshttps://doi.org/10.1155/2020/8812928openalex-snapshot
A Deep Learning‐Based Approach to Enable Action Recognition for Construction Equipment
inferred← citeshttps://doi.org/10.1155/2021/8132878openalex-snapshot
Development of a Comprehensive Driving Cycle for Construction Machinery Used for Energy Recovery System Evaluation: A Case Study of Medium Hydraulic Excavators
inferred← citeshttps://doi.org/10.1155/2022/4874817openalex-snapshot
Real-Time Recognition of Loading Cycles’ Process Based on Electric Mining Shovel Monitoring
inferred← citeshttps://doi.org/10.14569/ijacsa.2023.0140970openalex-snapshot
Artificial Intelligence-based Volleyball Target Detection and Behavior Recognition Method
inferred← citeshttps://doi.org/10.2139/ssrn.5393644openalex-snapshot
Depth-Aware Detection of Hanging Objects for State Reasoning in Construction Sites
inferred← citeshttps://doi.org/10.2139/ssrn.7226265openalex-snapshot
Hybrid conformer-TCN framework for temporal action recognition of excavator operations from untrimmed videos in open-pit mines
inferred← citeshttps://doi.org/10.2139/ssrn.7243918openalex-snapshot
A Simulation-based Structural Design Framework for Future High-Productivity Excavator Concepts
inferred← citeshttps://doi.org/10.2139/ssrn.7441896openalex-snapshot
Multimodal Excavator Activity Recognition Using GAF-Encoded Kinematic Sensors and RGB Vision Under Occlusion
inferred← citeshttps://doi.org/10.21608/erj.2022.258592openalex-snapshot
دور تقنیات الرؤیة الحاسوبیة فی إدارة مشاریع البناء Role of Computer Vision techniques in the management of construction projects
inferred← citeshttps://doi.org/10.2478/otmcj-2021-0003openalex-snapshot
Estimation of the excavator actual productivity at the construction site using video analysis
inferred← citeshttps://doi.org/10.2493/jjspe.88.162openalex-snapshot
Action Recognition of Excavator with Data Augmentation of Simulator-Generated Training Data
inferred← citeshttps://doi.org/10.3389/fbuil.2020.575738openalex-snapshot
Visual Analytics for Operation-Level Construction Monitoring and Documentation: State-of-the-Art Technologies, Research Challenges, and Future Directions
inferred← citeshttps://doi.org/10.3390/aieng1020008openalex-snapshot
A Functional Survey of AI-Based Vision Systems for Industrial Applications: Safety, Quality, and Productivity
inferred← citeshttps://doi.org/10.3390/app13010272openalex-snapshot
Vision-Based Activity Classification of Excavators by Bidirectional LSTM
inferred← citeshttps://doi.org/10.3390/app13179499openalex-snapshot
Transfer Learning-Based Object Detection Model for Steel Structure Bolt Fastening Inspection
inferred← citeshttps://doi.org/10.3390/app14010090openalex-snapshot
A Scalogram-Based CNN Approach for Audio Classification in Construction Sites
inferred← citeshttps://doi.org/10.3390/app14072859openalex-snapshot
Time of Flight Distance Sensor–Based Construction Equipment Activity Detection Method
inferred← citeshttps://doi.org/10.3390/app142210605openalex-snapshot
Application of Machine Learning in Construction Productivity at Activity Level: A Critical Review
inferred← citeshttps://doi.org/10.3390/app15158505openalex-snapshot
Multi-Modal Excavator Activity Recognition Using Two-Stream CNN-LSTM with RGB and Point Cloud Inputs
inferred← citeshttps://doi.org/10.3390/buildings12122167openalex-snapshot
Investigation of Edge Computing in Computer Vision-Based Construction Resource Detection
inferred← citeshttps://doi.org/10.3390/buildings13051329openalex-snapshot
Recent Research Progress in Intelligent Construction: A Comparison between China and Developed Countries
inferred← citeshttps://doi.org/10.3390/buildings14082299openalex-snapshot
Exploring Edge Computing for Sustainable CV-Based Worker Detection in Construction Site Monitoring: Performance and Feasibility Analysis
inferred← citeshttps://doi.org/10.3390/buildings15091447openalex-snapshot
A Practical Image Augmentation Method for Construction Safety Using Object Range Expansion Synthesis
inferred← citeshttps://doi.org/10.3390/buildings16010125openalex-snapshot
An Excavator Action Recognition Method Using Skeletal Keypoints and Monocular Depth Estimation Network
inferred← citeshttps://doi.org/10.3390/buildings16163336openalex-snapshot
Construction Equipment Monitoring Research: A Bibliometric and Scientometric Analysis of Trends and Emerging Directions
inferred← citeshttps://doi.org/10.3390/buildings16193843openalex-snapshot
Excavator Activity Recognition Using Gramian Angular Field (GAF) Encoding of Multi-Sensor Operational Data and Deep Learning
inferred← citeshttps://doi.org/10.3390/en14217202openalex-snapshot
Deep Learning-Based Prediction of Throttle Value and State for Wheel Loaders
inferred← citeshttps://doi.org/10.3390/math12091298openalex-snapshot
Mining Trajectory Planning of Unmanned Excavator Based on Machine Learning
inferred← citeshttps://doi.org/10.3390/robotics13110163openalex-snapshot
Subtask-Based Usability Evaluation of Control Interfaces for Teleoperated Excavation Tasks
inferred← citeshttps://doi.org/10.3390/rs13193853openalex-snapshot
Monitoring the Work Cycles of Earthmoving Excavators in Earthmoving Projects Using UAV Remote Sensing
inferred← citeshttps://doi.org/10.3390/rs16173295openalex-snapshot
AIDCON: An Aerial Image Dataset and Benchmark for Construction Machinery
inferred← citeshttps://doi.org/10.3390/s21020555openalex-snapshot
Automated Sensing System for Real-Time Recognition of Trucks in River Dredging Areas Using Computer Vision and Convolutional Deep Learning
inferred← citeshttps://doi.org/10.3390/s21103427openalex-snapshot
Construction of Stretching-Bending Sequential Pattern to Recognize Work Cycles for Earthmoving Excavator from Long Video Sequences
inferred← citeshttps://doi.org/10.3390/s21165468openalex-snapshot
Computer Vision-Based Construction Process Sensing for Cyber–Physical Systems: A Review
inferred← citeshttps://doi.org/10.3390/s24113347openalex-snapshot
Mitigating Measurement Inaccuracies in Digital Twins of Construction Machinery through Multi-Objective Optimization
inferred← citeshttps://doi.org/10.3390/s25133988openalex-snapshot
Sensor-Based Automatic Recognition of Construction Worker Activities Using Deep Learning Network
inferred← citeshttps://doi.org/10.3390/su151612358openalex-snapshot
Protocol Proposal for Data Collection and Processing in Productivity Assessment of Earthworks Using Audio-Visual and Location-Sensing Technology
inferred← citeshttps://doi.org/10.36680/j.itcon.2021.031openalex-snapshot
A hierarchical machine learning framework for the identification of automated construction
inferred← citeshttps://doi.org/10.36680/j.itcon.2023.023openalex-snapshot
Relevance of deep sequence models for recognising automated construction activities: a case study on a low-rise construction system
inferred← citeshttps://doi.org/10.36680/j.itcon.2023.038openalex-snapshot
RETRACTED: Vision-based tracking method of nighttime construction workers by integrating YOLOv5 and Deepsort
inferred← citeshttps://doi.org/10.36680/j.itcon.2023.38openalex-snapshot
RETRACTED: Vision-based tracking method of nighttime construction workers by integrating YOLOv5 and Deepsort (REDIRECT)
inferred← citeshttps://doi.org/10.7146/aul.455.c225openalex-snapshot
Self-supervised Learning Approach for Excavator Activity Recognition Using Contrastive Video Representation
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.