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

W Fang, L Ding, H Luo, PED Love - Automation in construction, 2018 - Elsevier
Falls from heights (FFH) are major contributors of injuries and deaths in construction. Yet,
despite workers being made aware of the dangers associated with not wearing a safety …

Digital reproduction of historical building ornamental components: From 3D scanning to 3D printing

J Xu, L Ding, PED Love - Automation in Construction, 2017 - Elsevier
A combination of the three-dimensional (3D) scanning and cement mortar-based 3D printing
technology is used to develop a novel process for reproducing a historical building …

The DOM generation and precise radiometric calibration of a UAV-mounted miniature snapshot hyperspectral imager

G Yang, C Li, Y Wang, H Yuan, H Feng, B Xu, X Yang - Remote Sensing, 2017 - mdpi.com
Hyperspectral remote sensing is used in precision agriculture to remotely and quickly
acquire crop phenotype information. This paper describes the generation of a digital …

Automated post-3D visualization ergonomic analysis system for rapid workplace design in modular construction

X Li, SH Han, M Gül, M Al-Hussein - Automation in Construction, 2019 - Elsevier
Conventional risk assessment of physical work methods is time-consuming and requires
human subjects to perform the operational task; 3D visualization, alternatively, allows users …

Recognizing people's identity in construction sites with computer vision: A spatial and temporal attention pooling network

R Wei, PED Love, W Fang, H Luo, S Xu - Advanced engineering …, 2019 - Elsevier
Several prototype vision-based approaches have been developed to capture and recognize
unsafe behavior in construction automatically. Vision-based approaches have been difficult …

Towards point cloud completion: Point rank sampling and cross-cascade graph cnn

L Zhu, B Wang, G Tian, W Wang, C Li - Neurocomputing, 2021 - Elsevier
Abstract The Point Fractal Network (PF-Net) is a seminal work with capability of completing
the missing regions of point clouds. However, the multi-resolution structure of PF-Net …

Teaching robots to do object assembly using multi-modal 3d vision

W Wan, F Lu, Z Wu, K Harada - Neurocomputing, 2017 - Elsevier
The motivation of this paper is to develop an intelligent robot assembly system using multi-
modal vision for next-generation industrial assembly. The system includes two phases …

SparseDC: Depth Completion from sparse and non-uniform inputs

C Long, W Zhang, Z Chen, H Wang, Y Liu, P Tong… - Information …, 2024 - Elsevier
We propose SparseDC, a model for Depth Completion from Sparse and non-uniform inputs.
Unlike previous methods focusing on completing fixed distributions on benchmark datasets …

A CNN-based 3D patch registration approach for integrating sequential models in support of progress monitoring

L Lei, Y Zhou, H Luo, PED Love - Advanced Engineering Informatics, 2019 - Elsevier
Significant advancements in three-dimensional (3D) imaging technologies have enabled the
ability to effectively monitor and manage the progress of works in construction. Traditionally …

Proposing UGV and UAV systems for 3D mapping of orchard environments

AC Tagarakis, E Filippou, D Kalaitzidis, L Benos… - Sensors, 2022 - mdpi.com
During the last decades, consumer-grade RGB-D (red green blue-depth) cameras have
gained popularity for several applications in agricultural environments. Interestingly, these …