Proactive safety hazard identification using visual–text semantic similarity for construction safety management
Y Wang, B Xiao, A Bouferguene… - Automation in Construction, 2024 - Elsevier
Automated safety management in construction can reduce injuries by identifying hazardous
postures, actions, and missing personal protective equipment (PPE). However, existing …
postures, actions, and missing personal protective equipment (PPE). However, existing …
Foundation Models for Autonomous Robots in Unstructured Environments
Automating activities through robots in unstructured environments, such as construction
sites, has been a long-standing desire. However, the high degree of unpredictable events in …
sites, has been a long-standing desire. However, the high degree of unpredictable events in …
Leveraging deep learning techniques for condition assessment of stormwater pipe network
Inspections and condition monitoring of the stormwater pipe networks have become
increasingly crucial due to their vast geographical span and complex structure. Unmanaged …
increasingly crucial due to their vast geographical span and complex structure. Unmanaged …
Assisting in the identification of ergonomic risks for workers: a large vision-language model approach
In the construction industry, due to workers frequently engaging in highly physically
demanding tasks and using various tools, workers are often exposed to ergonomic risks and …
demanding tasks and using various tools, workers are often exposed to ergonomic risks and …
Advancement and Development of Graph-Based Reasoning Method for Human Malicious Behaviors Identification Based on Graph Contrastive Representation …
Z Li, X Song, S Chen, K Demachi - Available at SSRN 4798853 - papers.ssrn.com
This paper mainly aims to solve the problem of human malicious behaviors identification in
nuclear security, which features of extremely high potential hazards and unique judgement …
nuclear security, which features of extremely high potential hazards and unique judgement …