How computer vision can facilitate flood management: A systematic review
Better prediction and monitoring of flood events are key factors contributing to the reduction
of their impact on local communities and infrastructure assets. Flood management involves …
of their impact on local communities and infrastructure assets. Flood management involves …
MaDnet: multi-task semantic segmentation of multiple types of structural materials and damage in images of civil infrastructure
Manual visual inspection is the most common means of assessing the condition of civil
infrastructure in the United States, but can be exceedingly laborious, time-consuming, and …
infrastructure in the United States, but can be exceedingly laborious, time-consuming, and …
Physics-based graphics models in 3D synthetic environments as autonomous vision-based inspection testbeds
Manual visual inspection of civil infrastructure is high-risk, subjective, and time-consuming.
The success of deep learning and the proliferation of low-cost consumer robots has spurred …
The success of deep learning and the proliferation of low-cost consumer robots has spurred …
Synthetic environments for vision-based structural condition assessment of Japanese high-speed railway viaducts
Civil infrastructure condition assessment using visual recognition methods has shown
significant potential for automating various aspects of the problem, including identification …
significant potential for automating various aspects of the problem, including identification …
Vision-based structural inspection using multiscale deep convolutional neural networks
Current methods of practice for inspection of civil infrastructure typically involve visual
assessments conducted manually by trained inspectors. For post-earthquake structural …
assessments conducted manually by trained inspectors. For post-earthquake structural …
[HTML][HTML] Random bridge generator as a platform for developing computer vision-based structural inspection algorithms
Recent advances in computer vision algorithms have transformed the bridge visual
inspection process. Those algorithms typically require large amounts of annotated data …
inspection process. Those algorithms typically require large amounts of annotated data …
CNN-based segmentation frameworks for structural component and earthquake damage determinations using UAV images
Buildings undergo various kinds of structural damage during earthquakes, and damage
detection and functional assessment of these structures in the aftermath of the events have …
detection and functional assessment of these structures in the aftermath of the events have …
Postevent reconnaissance image documentation using automated classification
Reconnaissance teams are charged with collecting perishable data after a natural disaster.
In the field, these engineers typically record their observations through images. Each team …
In the field, these engineers typically record their observations through images. Each team …
Automated bridge component recognition using video data
This paper investigates the automated recognition of structural bridge components using
video data. Although understanding video data for structural inspections is straightforward …
video data. Although understanding video data for structural inspections is straightforward …
Deep learning for automated image classification of seismic damage to built infrastructure
B Patterson, G Leone, M Pantoja… - Eleventh US …, 2018 - digitalcommons.calpoly.edu
The amount of structural damage image data produced in the aftermath of an earthquake
can be staggering. It is challenging for a few human volunteers to efficiently filter and tag …
can be staggering. It is challenging for a few human volunteers to efficiently filter and tag …