Abstract Machine learning models have been developed to perform damage detection using
images to improve bridge inspection efficiency. However, in damage detection using images …

Fatigue, corrosion, and bolt loosening are the main causes of structural performance
degradation and collapse in steel bridges. Accurate monitoring of steel bridge diseases is a …

This review explores the current application of computer vision (CV) technologies in the
inspection of pipelines within the oil and gas industry, highlighting the methodologies …

In this article, we present the first large-scale data set for underwater ship lifecycle
inspection, analysis and condition information (LIACI). It contains 1893 images with pixel …

This paper presents a framework for estimating the cause of damage to bridge members by
combining Structure from Motion (SfM) and Visual Question Answering (VQA) techniques. A …

Based on the image acquisition of complex steel structures in high altitude by unmanned
aerial vehicle, the remote detection and quantitative evaluation method for the surface …

The lower part of offshore construction wharfs is mostly a steel structure system composed of
steel pipe piles, whose corrosion level directly affects the structural safety performance of …

The inspection of infrastructure for corrosion remains a task that is typically performed
manually by qualified engineers or inspectors. This task of inspection is laborious, slow, and …

This paper uses transfer learning and fine-tuning approaches to explore EfficientNet smaller
models for a multiclassification task of corrosion types in above-ground storage tanks. Data …

The proposed study focuses on the critical issue of corrosion, which leads to significant
economic losses and safety risks worldwide. A key area of emphasis is the accuracy of …