Computer vision and long short-term memory: Learning to predict unsafe behaviour in construction

Multitask Learning Method for Detecting the Visual Focus of Attention of Construction Workers

(2021) Jiannan Cai et al.   JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT

Image segmentation of underfloor scenes using a mask regions convolutional neural network with two-stage transfer learning

(2020) Gary A. Atkinson et al.   AUTOMATION IN CONSTRUCTION

Real-time smart video surveillance to manage safety: A case study of a transport mega-project

(2020) Hanbin Luo et al.   ADVANCED ENGINEERING INFORMATICS

Robust Hybrid Approach of Vision-Based Tracking and Radio-Based Identification and Localization for 3D Tracking of Multiple Construction Workers

(2020) Jiannan Cai et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Rework, Failures, and Unsafe Behavior: Moving Toward an Error Management Mindset in Construction

(2020) Peter E. D. Love et al.   IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT

A deep learning-based approach for mitigating falls from height with computer vision: Convolutional neural network

(2019) Weili Fang et al.   ADVANCED ENGINEERING INFORMATICS

The nature and severity of workplace injuries in construction: engendering operational benchmarking

(2019) Peter E. D. Love et al.   ERGONOMICS

End-to-end vision-based detection, tracking and activity analysis of earthmoving equipment filmed at ground level

(2019) Dominic Roberts et al.   AUTOMATION IN CONSTRUCTION

Vision-based detection and visualization of dynamic workspaces

(2019) Xiaochun Luo et al.   AUTOMATION IN CONSTRUCTION

Instance-level recognition and quantification for concrete surface bughole based on deep learning

(2019) Fujia Wei et al.   AUTOMATION IN CONSTRUCTION

Use of Neural Networks to Identify Safety Prevention Priorities in Agro-Manufacturing Operations within Commercial Grain Elevators

(2019) Fatemeh Davoudi Kakhki et al.   Applied Sciences-Basel

Computer vision for behaviour-based safety in construction: A review and future directions

(2019) Weili Fang et al.   ADVANCED ENGINEERING INFORMATICS

Machine learning predictive model based on national data for fatal accidents of construction workers

(2019) Jongko Choi et al.   AUTOMATION IN CONSTRUCTION

Computer vision applications in construction safety assurance

(2019) Weili Fang et al.   AUTOMATION IN CONSTRUCTION

Accident Analysis for Construction Safety Using Latent Class Clustering and Artificial Neural Networks

(2019) Bilal Umut Ayhan et al.   JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT

Automated detection of workers and heavy equipment on construction sites: A convolutional neural network approach

(2018) Weili Fang et al.   ADVANCED ENGINEERING INFORMATICS

Falls from heights: A computer vision-based approach for safety harness detection

(2018) Weili Fang et al.   AUTOMATION IN CONSTRUCTION

A deep hybrid learning model to detect unsafe behavior: Integrating convolution neural networks and long short-term memory

(2018) Lieyun Ding et al.   AUTOMATION IN CONSTRUCTION

Recognizing Diverse Construction Activities in Site Images via Relevance Networks of Construction-Related Objects Detected by Convolutional Neural Networks

(2018) Xiaochun Luo et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Two-Dimensional Visual Tracking in Construction Scenarios: A Comparative Study

(2018) Bo Xiao et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Reduce rework, improve safety: an empirical inquiry into the precursors to error in construction

(2018) Peter E. D. Love et al.   PRODUCTION PLANNING & CONTROL

Unearthing the nature and interplay of quality and safety in construction projects: An empirical study

(2018) Peter E.D. Love et al.   SAFETY SCIENCE

Automatic Pixel-Level Crack Detection and Measurement Using Fully Convolutional Network

(2018) Xincong Yang et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

(2017) Shaoqing Ren et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Predicting movements of onsite workers and mobile equipment for enhancing construction site safety

(2016) Zhenhua Zhu et al.   AUTOMATION IN CONSTRUCTION

Fusion of Photogrammetry and Video Analysis for Productivity Assessment of Earthwork Processes

(2016) M. Bügler et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Vision-Based Object-Centric Safety Assessment Using Fuzzy Inference: Monitoring Struck-By Accidents with Moving Objects

(2016) Hongjo Kim et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Visual Tracking of Construction Jobsite Workforce and Equipment with Particle Filtering

(2016) Zhenhua Zhu et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Predicting safety behavior in the construction industry: Development and test of an integrative model

(2016) Brian H.W. Guo et al.   SAFETY SCIENCE

Neural Network Model for the Prediction of Safe Work Behavior in Construction Projects

(2015) D. A. Patel et al.   JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT

Neural Network Model for the Prediction of Safe Work Behavior in Construction Projects

(2015) D. A. Patel et al.   JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT

Robust Object Tracking via Sparse Collaborative Appearance Model

(2014) Wei Zhong et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Visibility-related fatalities related to construction equipment

(2011) Jimmie W. Hinze et al.   SAFETY SCIENCE

Autonomous pro-active real-time construction worker and equipment operator proximity safety alert system

(2010) Jochen Teizer et al.   AUTOMATION IN CONSTRUCTION