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HLE-SLAM: SLAM for overexposed construction environment
bstract One of the main challenges in the visual simultaneous localization and mapping (V-SLAM) of construction robots is robustness to …
Xinyu Chen, Yantao Yu
Low-light Image Enhancement for Construction Robot Simultaneous Localization and Mapping
Visual Simultaneous Localization and Mapping (VSLAM) is widely used in construction robots because it is an efficient and inexpensive …
Xinyu Chen, Yantao Yu
Learning Multi-Granularity Task Primitives from Construction Videos for Human-Robot Collaboration
Human-robot collaboration (HRC) is an emerging solution for the construction industry’s productivity and safety challenges. The …
Zaolin Pan, Yantao Yu
DOI
Image Illumination Enhancement for Construction Worker Pose Estimation in Low-light Conditions
Many construction scenes feature low-light work, such as nighttime construction and tunnel construction. Poor lighting and low …
Xinyu Chen, Yantao Yu
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Automated activity recognition of construction workers using single in-pocket smartphone and machine learning methods
Automatic recognition of construction workers’ activities contributes to improving productivity and reducing the potential risk …
Guohao Wang, Yantao Yu, Heng Li
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Estimating Construction Workers' Physical Workload by Fusing Computer Vision and Smart Insole Technologies
Construction workers are commonly subjected to ergonomic risks due to awkward postures and/or excessive manual material handling. …
Yantao Yu, Heng Li, Xincong Yang, Waleed Umer
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