Zobrazeno 1 - 10
of 901
pro vyhledávání: '"LUO Xiaowei"'
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 engineering experience. A novel scan-to-building information modeling (s
Externí odkaz:
http://arxiv.org/abs/2406.12404
Autor:
Ding, Yuexiong, Luo, Xiaowei
Though current object detection models based on deep learning have achieved excellent results on many conventional benchmark datasets, their performance will dramatically decline on real-world images taken under extreme conditions. Existing methods e
Externí odkaz:
http://arxiv.org/abs/2406.12395
Autor:
Lin, Shijie, Zhang, Xiang, Yang, Lei, Yu, Lei, Zhou, Bin, Luo, Xiaowei, Wang, Wenping, Pan, Jia
Bimodal objects, such as the checkerboard pattern used in camera calibration, markers for object tracking, and text on road signs, to name a few, are prevalent in our daily lives and serve as a visual form to embed information that can be easily reco
Externí odkaz:
http://arxiv.org/abs/2402.12644
Autor:
Ding, Yuexiong, Luo, Xiaowei
Object detection has been widely applied for construction safety management, especially personal protective equipment (PPE) detection. Though the existing PPE detection models trained on conventional datasets have achieved excellent results, their pe
Externí odkaz:
http://arxiv.org/abs/2307.13654
Publikováno v:
Engineering, Construction and Architectural Management, 2023, Vol. 31, Issue 9, pp. 3748-3772.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/ECAM-09-2022-0909
The occlusion issues of computer vision (CV) applications in construction have attracted significant attention, especially those caused by the wide-coverage, crisscrossed, and immovable scaffold. Intuitively, removing the scaffold and restoring the o
Externí odkaz:
http://arxiv.org/abs/2305.18810
Autor:
Ding, Yuexiong, Luo, Xiaowei
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 concern in construction safety management. Existing methods are eithe
Externí odkaz:
http://arxiv.org/abs/2305.17931
Autor:
Ding, Yuexiong, Luo, Xiaowei
Currently, object detection applications in construction are almost based on pure 2D data (both image and annotation are 2D-based), resulting in the developed artificial intelligence (AI) applications only applicable to some scenarios that only requi
Externí odkaz:
http://arxiv.org/abs/2305.17927
Motion deblurring is a critical ill-posed problem that is important in many vision-based robotics applications. The recently proposed event-based double integral (EDI) provides a theoretical framework for solving the deblurring problem with the event
Externí odkaz:
http://arxiv.org/abs/2305.05925
Publikováno v:
Engineering, Construction and Architectural Management, 2024, Vol. 31, Issue 5, pp. 2034-2052.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/ECAM-10-2023-1032