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Interaction analysis for vision-based activity identification of earthmoving excavators and dump trucks
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Human Action Recognition Using Distribution of Oriented Rectangular Patches
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People Watching: Human Actions as a Cue for Single View Geometry
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Personnel tracking on construction sites using video cameras
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Automated vision tracking of project related entities
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Learning and classifying actions of construction workers and equipment using Bag-of-Video-Feature-Words and Bayesian network models
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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.2015.03.001openalex-snapshot
Construction equipment activity recognition for simulation input modeling using mobile sensors and machine learning classifiers
inferredcites →https://doi.org/10.1016/j.autcon.2010.05.005openalex-snapshot
Multi-agent-based simulation system for construction operations with congested flows
inferredcites →https://doi.org/10.1016/j.autcon.2011.03.007openalex-snapshot
Comparative study of vision tracking methods for tracking of construction site resources
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.2012.06.001openalex-snapshot
Construction worker detection in video frames for initializing vision trackers
inferredcites →https://doi.org/10.1016/j.autcon.2012.08.003openalex-snapshot
Automated task-level activity analysis through fusion of real time location sensors and worker's thoracic posture data
inferredcites →https://doi.org/10.1016/j.autcon.2012.12.002openalex-snapshot
Automated 2D detection of construction equipment and workers from site video streams using histograms of oriented gradients and colors
inferredcites →https://doi.org/10.1016/j.autcon.2014.02.018openalex-snapshot
Framework for near real-time simulation of earthmoving projects using location tracking technologies
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.2016.06.016openalex-snapshot
Data acquisition technologies for construction progress tracking
inferredcites →https://doi.org/10.1016/j.autcon.2016.08.018openalex-snapshot
Data-driven scene parsing method for recognizing construction site objects in the whole image
inferredcites →https://doi.org/10.1016/j.autcon.2016.08.039openalex-snapshot
Continuous localization of construction workers via integration of detection and tracking
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Proceedings of the 13th British Machine Vision Conference
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Activity-Based Construction (ABC) Modeling and Simulation Method
inferredcites →https://doi.org/10.1061/(asce)0733-9364(2000)126:3(201)openalex-snapshot
Development of an Experience Database for Truck Loading Operations
inferredcites →https://doi.org/10.1061/(asce)0733-9364(2003)129:2(173)openalex-snapshot
Object-oriented Simulation Model for Earthmoving Operations
inferredcites →https://doi.org/10.1061/(asce)0733-9364(2004)130:1(105)openalex-snapshot
Multiobjective Optimization of Earthmoving Operations
inferredcites →https://doi.org/10.1061/(asce)0733-9364(2008)134:9(701)openalex-snapshot
Strategic-Operational Construction Management: Hybrid System Dynamics and Discrete Event Approach
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.1943-7862.0000164openalex-snapshot
Benefits and Barriers of Construction Project Monitoring Using High-Resolution Automated Cameras
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.1943-7862.0000775openalex-snapshot
Knowledge-Based Simulation Modeling of Construction Fleet Operations Using Multimodal-Process Data Mining
inferredcites →https://doi.org/10.1061/(asce)co.1943-7862.0001010openalex-snapshot
Crowdsourcing Construction Activity Analysis from Jobsite Video Streams
inferredcites →https://doi.org/10.1061/(asce)co.1943-7862.0001223openalex-snapshot
Framework of Automated Construction-Safety Monitoring Using Cloud-Enabled BIM and BLE Mobile Tracking Sensors
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.1943-5487.0000172openalex-snapshot
Crane Pose Estimation Using UWB Real-Time Location System
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.1943-5487.0000562openalex-snapshot
Vision-Based Object-Centric Safety Assessment Using Fuzzy Inference: Monitoring Struck-By Accidents with Moving Objects
inferredcites →https://doi.org/10.1061/(asce)cp.1943-5487.0000573openalex-snapshot
Visual Tracking of Construction Jobsite Workforce and Equipment with Particle Filtering
inferredcites →https://doi.org/10.1061/(asce)cp.1943-5487.0000602openalex-snapshot
Vision-Based Excavator Detection and Tracking Using Hybrid Kinematic Shapes and Key Nodes
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/10.1061/9780784479827openalex-snapshot
Construction Research Congress 2016
inferredcites →https://doi.org/10.1061/9780784479827.086openalex-snapshot
Characterizing Construction Equipment Activities in Long Video Sequences of Earthmoving Operations via Kinematic Features
inferredcites →https://doi.org/10.1080/01446190210156064openalex-snapshot
Simulation optimization for earthmoving operations using genetic algorithms
inferredcites →https://doi.org/10.1080/014461998372213openalex-snapshot
Resource-driven scheduling of repetitive activities
inferredcites →https://doi.org/10.1109/cvpr.2005.177openalex-snapshot
Histograms of Oriented Gradients for Human Detection
inferredcites →https://doi.org/10.1109/cvpr.2008.4587735openalex-snapshot
Action recognition by learning mid-level motion features
inferredcites →https://doi.org/10.1109/cvpr.2010.5540235openalex-snapshot
Modeling mutual context of object and human pose in human-object interaction activities
inferredcites →https://doi.org/10.1109/cvpr.2011.5995386openalex-snapshot
Multi-agent event recognition in structured scenarios
inferredcites →https://doi.org/10.1109/cvpr.2014.105openalex-snapshot
The Language of Actions: Recovering the Syntax and Semantics of Goal-Directed Human Activities
inferredcites →https://doi.org/10.1109/cvpr.2015.7298714openalex-snapshot
Hierarchical recurrent neural network for skeleton based action recognition
inferredcites →https://doi.org/10.1109/cvpr.2015.7298734openalex-snapshot
Joint action recognition and pose estimation from video
inferredcites →https://doi.org/10.1109/iccv.2003.1238420openalex-snapshot
Recognizing action at a distance
inferredcites →https://doi.org/10.1109/tpami.2009.167openalex-snapshot
Object Detection with Discriminatively Trained Part-Based Models
inferredcites →https://doi.org/10.1109/tpami.2010.214openalex-snapshot
Hidden Part Models for Human Action Recognition: Probabilistic versus Max Margin
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/10.1186/s40327-015-0025-3openalex-snapshot
Cell-based construction site simulation model for earthmoving operations using real-time equipment location data
inferredcites →https://doi.org/10.3130/jaabe.9.185openalex-snapshot
Productivity Analysis Comparison of Different Types of Earthmoving Operations by Means of Various Productivity Measurements
inferredcites →https://doi.org/10.3389/frobt.2015.00028openalex-snapshot
A Review of Human Activity Recognition Methods
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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A Review of Computer Vision Applications for Construction Goals Management: Current Status and Future Directions
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Application of a Machine Vision System for Controlling the Spatial Position of Construction Equipment
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Computer Vision Techniques in Construction: A Critical Review
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3D pose estimation and localization of construction equipment from single camera images by virtual model integration
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Data augmentation aided excavator activity recognition using deep convolutional conditional generative adversarial networks
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Action recognition of earthmoving excavators based on sequential pattern analysis of visual features and operation cycles
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End-to-end vision-based detection, tracking and activity analysis of earthmoving equipment filmed at ground level
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Two-step long short-term memory method for identifying construction activities through positional and attentional cues
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Intelligent identification for working-cycle stages of excavator based on main pump pressure
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Human-object interaction recognition for automatic construction site safety inspection
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Automatic vision-based calculation of excavator earthmoving productivity using zero-shot learning activity recognition
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Self-supervised contrastive video representation learning for construction equipment activity recognition on limited dataset
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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-15310openalex-snapshot
Real-Time Detection of Personal Protective Equipment Violations for Construction Workers Using Semisupervised Learning and Video Clips
inferred← citeshttps://doi.org/10.1061/jmenea.meeng-5630openalex-snapshot
A New Benchmark Model for the Automated Detection and Classification of a Wide Range of Heavy Construction Equipment
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-02-2025-0176openalex-snapshot
Excavator identification method based on computer vision technology in nighttime scenes
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/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/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/ist59124.2023.10355699openalex-snapshot
Online learning for obstacle detection in construction for a multi-robot setting
inferred← citeshttps://doi.org/10.1109/jsen.2023.3344605openalex-snapshot
Artificial Intelligence and IoT in Elderly Fall Prevention: A Review
inferred← citeshttps://doi.org/10.1109/tim.2025.3545514openalex-snapshot
Spatio-Temporal Data Fusion-Based Method for Working Cycles Identification of Hydraulic Excavators
inferred← citeshttps://doi.org/10.1111/mice.12848openalex-snapshot
Equipment activity recognition and early fault detection in automated construction through a hybrid machine learning framework
inferred← citeshttps://doi.org/10.1111/mice.12983openalex-snapshot
Visual–auditory learning network for construction equipment action detection
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/10.12652/ksce.2019.39.6.0887openalex-snapshot
Automated Training Database Development through Image Web Crawling for Construction Site Monitoring
inferred← citeshttps://doi.org/10.2139/ssrn.5668931openalex-snapshot
Information-Driven Intelligent Early Warning for Human–Machine Collisions: A Data-Centric Demand–Capacity Equilibrium Framework for Proactive Construction Accident Prevention
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/10.24867/ijiem-2023-1-323openalex-snapshot
Deep Learning Approach for Volume Estimation in Earthmoving Operation
inferred← citeshttps://doi.org/10.26730/1816-4528-2024-6-43-53openalex-snapshot
MEASURING SYSTEM FOR THE STUDY OF DEFORMATION PROCESSES IN THE BEARING ELEMENTS OF DUMP TRUCKS
inferred← citeshttps://doi.org/10.29007/xp13openalex-snapshot
Autonomous Monitoring of Hauling Equipment in Earthmoving Operations
inferred← citeshttps://doi.org/10.3233/jifs-236423openalex-snapshot
RETRACTED: Potential functions of construction worker–machine interaction safety assessment
inferred← citeshttps://doi.org/10.3311/ccc2023-032openalex-snapshot
COMPUTER VISION-BASED TILE COUNTING MODEL FOR AUTOMATED PROGRESS MONITORING
inferred← citeshttps://doi.org/10.3389/fbuil.2019.00144openalex-snapshot
Automated Activity Identification for Construction Equipment Using Motion Data From Articulated Members
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/app13010272openalex-snapshot
Vision-Based Activity Classification of Excavators by Bidirectional LSTM
inferred← citeshttps://doi.org/10.3390/app14146052openalex-snapshot
Integrating Task Component Design in Excavator–Truck Operation Planning: Enhancing Automation Systems through a Web-Based System
inferred← citeshttps://doi.org/10.3390/app15041680openalex-snapshot
Dynamic Modeling and Output Characteristics Analysis of the Hub-Drive Reduction System
inferred← citeshttps://doi.org/10.3390/app15052320openalex-snapshot
Heavy Equipment Detection on Construction Sites Using You Only Look Once (YOLO-Version 10) with Transformer Architectures
inferred← citeshttps://doi.org/10.3390/app9112227openalex-snapshot
A Self-Configuring Membership-Function-Based Approach for Fuzzy Fatigue Reliability Optimization of Welded A-Type Frame Considering Multi-Source Uncertainties
inferred← citeshttps://doi.org/10.3390/app9204214openalex-snapshot
Interval Multi-Objectives Optimization of Electric Wheel Dump Truck Frame Based on Blind Number Theory
inferred← citeshttps://doi.org/10.3390/app9224871openalex-snapshot
Deep Learning Model Comparison for Vision-Based Classification of Full/Empty-Load Trucks in Earthmoving Operations
inferred← citeshttps://doi.org/10.3390/buildings12060827openalex-snapshot
Visual Relationship-Based Identification of Key Construction Scenes on Highway Bridges
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/buildings15142570openalex-snapshot
Autonomous Earthwork Machinery for Urban Construction: A Review of Integrated Control, Fleet Coordination, and Safety Assurance
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/civileng6010011openalex-snapshot
Earthwork Traceability Management System Using Compaction History and Dump Truck Sensing Data
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/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/s19224853openalex-snapshot
Development of Unmanned Excavator Vehicle System for Performing Dangerous Construction Work
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/s25175604openalex-snapshot
Two-Stage Marker Detection–Localization Network for Bridge-Erecting Machine Hoisting Alignment
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/10.47869/tcsj.72.4.3openalex-snapshot
A vision-based excavator productivity analysis in Vietnam
inferred← citeshttps://doi.org/10.7146/aul.455.c225openalex-snapshot
Self-supervised Learning Approach for Excavator Activity Recognition Using Contrastive Video Representation
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