Artificial intelligence quality inspection of steel bars installation by integrating mask R-CNN and stereo vision

Automated dimensional quality assessment for formwork and rebar of reinforced concrete components using 3D point cloud data

(2020) Min-Koo Kim et al.   AUTOMATION IN CONSTRUCTION

Crack Detection and Segmentation Using Deep Learning with 3D Reality Mesh Model for Quantitative Assessment and Integrated Visualization

(2020) Rony Kalfarisi et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Safety Distance Identification for Crane Drivers Based on Mask R-CNN

(2019) Zhen Yang et al.   SENSORS

Image‐based concrete crack assessment using mask and region‐based convolutional neural network

(2019) Byunghyun Kim et al.   Structural Control & Health Monitoring

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

(2018) Weili Fang et al.   ADVANCED ENGINEERING INFORMATICS

Transfer learning and deep convolutional neural networks for safety guardrail detection in 2D images

(2018) Zdenek Kolar et al.   AUTOMATION IN CONSTRUCTION

A High Precision Quality Inspection System for Steel Bars Based on Machine Vision

(2018) Xinman Zhang et al.   SENSORS

Autonomous concrete crack detection using deep fully convolutional neural network

(2018) Cao Vu Dung et al.   AUTOMATION IN CONSTRUCTION

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

A stereovision-based crack width detection approach for concrete surface assessment

(2015) Baohua Shan et al.   KSCE Journal of Civil Engineering