Surface Damage Detection and Localization for Bridge Visual Inspection Based on Deep Learning and 3D Reconstruction
Youhao Ni,
Jianxiao Mao,
Hao Wang
et al.
Abstract:In the process of infrastructure construction in recent decades, there exist millions of bridges in service that need safety inspection for performance assessment. Currently, computer vision and deep learning‐based surface damage detection methods can achieve classification and localization of damages at the image level, but achieving precise localization in three‐dimensional space is more challenging. To overcome aforementioned limitations, this study proposes a three‐stage method of bridge surface damage det… Show more
Set email alert for when this publication receives citations?
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.