4 papers
Towards Automated Post-Earthquake Inspections with Deep Learning-based Condition-Aware Models
Vedhus Hoskere, Yasutaka Narazaki, Tu A. Hoang +1
In the aftermath of an earthquake, rapid structural inspections are required to get citizens back in to their homes and offices in a safe and timely manner. These inspections gfare…
Automated Bridge Component Recognition using Video Data
Yasutaka Narazaki, Vedhus Hoskere, Tu A. Hoang +1
This paper investigates the automated recognition of structural bridge components using video data. Although understanding video data for structural inspections is straightforward…
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…