80 citations · 103 across the 4 of their papers we have counts for
4 papers
Three-dimensional Damage Visualization of Civil Structures via Gaussian Splatting-enabled Digital Twins
Shuo Wang, Xin Nie, Yasutaka Narazaki +2
Recent advancements in civil infrastructure inspections underscore the need for precise three-dimensional (3D) damage visualization on digital twins, transcending traditional 2D im…
Physics-Informed Neural Network based Damage Identification for Truss Railroad Bridges
Althaf Shajihan, Kirill Mechitov, Girish Chowdhary +1
Railroad bridges are a crucial component of the U.S. freight rail system, which moves over 40 percent of the nation's freight and plays a critical role in the economy. However, agi…
Vision-based Automated Bridge Component Recognition Integrated With High-level Scene Understanding
Yasutaka Narazaki, Vedhus Hoskere, Tu A. Hoang +1
Image data has a great potential of helping conventional visual inspections of civil engineering structures due to the ease of data acquisition and the advantages in capturing visu…
Vision-based Structural Inspection using Multiscale Deep Convolutional Neural Networks
Vedhus Hoskere, Yasutaka Narazaki, Tu Hoang +1
Current methods of practice for inspection of civil infrastructure typically involve visual assessments conducted manually by trained inspectors. For post-earthquake structural ins…