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RISVision-Language Artificial Intelligence for Robotic-Based Monitoring: Concrete Defect Detection, Classification, and Localization in Two-Dimensional Maps
Publisher: American Society of Civil Engineers
Abstract: AbstractThis paper introduces a novel framework that combines vision-language models (VLMs)
and localization techniques to detect, classify, and localize visual structural defects
using moving platforms such as robots and ...
Physics-Based Analysis and Data-Driven Detection of Artificial Intelligence–Generated Surface Crack Images for Civil Infrastructure Monitoring
Publisher: American Society of Civil Engineers
Abstract: AbstractGenerative artificial intelligence (AI) is transforming the condition assessment of
civil infrastructures, creating both opportunities and challenges. This paper aims
to address challenges related to the authenticity ...
Vision-Based Quantification of Stiffness Degradation in Reinforced Concrete Shear Walls Using Graph-Based Surface Crack Features and Machine Learning
Publisher: American Society of Civil Engineers
Abstract: AbstractThe rapid and accurate assessment of structural damage in reinforced concrete shear
walls (RCSWs) following seismic events remains a critical yet unresolved challenge
in structural engineering. Current methods rely ...