3 citations · 7 across the 8 of their papers we have counts for
6 papers · 1 filter
Scan-to-BIM for As-built Roads: Automatic Road Digital Twinning from Semantically Labeled Point Cloud Data
Yuexiong Ding, Mengtian Yin, Ran Wei +3
Creating geometric digital twins (gDT) for as-built roads still faces many challenges, such as low automation level and accuracy, limited asset types and shapes, and reliance on en…
SDNIA-YOLO: A Robust Object Detection Model for Extreme Weather Conditions
Yuexiong Ding, Xiaowei Luo
Though current object detection models based on deep learning have achieved excellent results on many conventional benchmark datasets, their performance will dramatically decline o…
Personal Protective Equipment Detection in Extreme Construction Conditions
Yuexiong Ding, Xiaowei Luo
Object detection has been widely applied for construction safety management, especially personal protective equipment (PPE) detection. Though the existing PPE detection models trai…
Scene restoration from scaffold occlusion using deep learning-based methods
Yuexiong Ding, Muyang Liu, Xiaowei Luo
The occlusion issues of computer vision (CV) applications in construction have attracted significant attention, especially those caused by the wide-coverage, crisscrossed, and immo…
Monocular 2D Camera-based Proximity Monitoring for Human-Machine Collision Warning on Construction Sites
Yuexiong Ding, Xiaowei Luo
Accident of struck-by machines is one of the leading causes of casualties on construction sites. Monitoring workers' proximities to avoid human-machine collisions has aroused great…
Autofocus for Event Cameras
Shijie Lin, Yinqiang Zhang, Lei Yu +3
Focus control (FC) is crucial for cameras to capture sharp images in challenging real-world scenarios. The autofocus (AF) facilitates the FC by automatically adjusting the focus se…