Zobrazeno 1 - 10
of 142
pro vyhledávání: '"Sun, Kailai"'
Workplace safety has received increasing attention as millions of workers worldwide suffer from work-related accidents. Despite poor housekeeping is a significant contributor to construction accidents, there remains a significant lack of technologica
Externí odkaz:
http://arxiv.org/abs/2410.17513
Pedestrian detection and tracking in crowded video sequences have a wide range of applications, including autonomous driving, robot navigation and pedestrian flow surveillance. However, detecting and tracking pedestrians in high-density crowds face m
Externí odkaz:
http://arxiv.org/abs/2408.05877
There is growing interest in using safety analytics and machine learning to support the prevention of workplace incidents, especially in high-risk industries like construction and trucking. Although existing safety analytics studies have made remarka
Externí odkaz:
http://arxiv.org/abs/2408.07094
Depth images have a wide range of applications, such as 3D reconstruction, autonomous driving, augmented reality, robot navigation, and scene understanding. Commodity-grade depth cameras are hard to sense depth for bright, glossy, transparent, and di
Externí odkaz:
http://arxiv.org/abs/2406.09792
There is a rising interest in using artificial intelligence (AI)-powered safety analytics to predict accidents in the trucking industry. Companies may face the practical challenge, however, of not having enough data to develop good safety analytics m
Externí odkaz:
http://arxiv.org/abs/2402.12417
Autor:
Sun, Kailai, Lan, Tianxiang, Goh, Yang Miang, Safiena, Sufiana, Huang, Yueng-Hsiang, Lytle, Bailey, He, Yimin
The transportation industry, particularly the trucking sector, is prone to workplace accidents and fatalities. Accidents involving large trucks accounted for a considerable percentage of overall traffic fatalities. Recognizing the crucial role of saf
Externí odkaz:
http://arxiv.org/abs/2310.19841
Publikováno v:
In Transportation Research Part F: Psychology and Behaviour October 2024 106:72-89
Publikováno v:
In Energy & Buildings 15 September 2024 319
Publikováno v:
In Neurocomputing 21 January 2025 614
Publikováno v:
Building and Environment,Volume 222,2022
Head detection in the indoor video is an essential component of building occupancy detection. While deep models have achieved remarkable progress in general object detection, they are not satisfying enough in complex indoor scenes. The indoor surveil
Externí odkaz:
http://arxiv.org/abs/2110.03302