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Infrared Thermographic NDT-based Damage Detection and Analysis Method for Spacecraft
The book focuses on infrared thermographic NDT systems and approaches. Both principles and engineering practice are covered, with more emphasis on...
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Intelligent Car Damage Detection System
This research develops an automated car damage detection system using computer vision and deep learning algorithms to detect and classify damage on...
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Foreign Object Damage Detection and Elimination
Foreign object damage (FOD) detection and elimination is identifying and removing any foreign objects that can pose safety hazards during ground...
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An annotated street view image dataset for automated road damage detection
Road damage is a great threat to the service life and safety of roads, and the early detection of pavement damage can facilitate maintenance and...
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Structural Damage Detection Methods
This section explores the damage detection methods of WT components within a structural health monitoring (SHM) framework. Specifically, it addresses...
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Structural Damage Detection by Derivative-Based Wavelet Transforms
In practical applications of wavelet transform, engineers and practitioners encounter challenges that arise due to the disparity between wavelet...
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Damage Detection on Historical Structure Using Image Processing
This paper focuses on the “Revitalizing historical structures: Using image processing for accurate damage detection and assessment.” Our objective is...
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Linear Refinement Attention for Road Damage Detection
Object detection plays a vital role in computer vision. As a typical application of object detection, road damage detection has strong...
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Deep learning based damage detection of concrete structures
Damage detection of any civil engineering structure is a part of the interest in the field of engineering from which one can estimate the stability...
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Structural damage detection of 3-D truss structure using nodal response analysis
The health monitoring system is considered mandatory during the operating period of truss structures, which are periodically tested to investigate...
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YOLOv8-PD: an improved road damage detection algorithm based on YOLOv8n model
Road damage detection is an crucial task to ensure road safety. To tackle the issues of poor performance on multi-scale pavement distresses and high...
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Damage detection with image processing: a comparative study
Large structures, such as bridges, highways, etc., need to be inspected to evaluate their actual physical and functional condition, to predict future...
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Improved YOLOv7 for Road Damage Detection
The current road damage detection (RDD) algorithms fail to achieve automatic and accurate evaluation and application in the traffic scenarios. In...
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Damage detection in space truss structures using a third-level approach
Monitoring civil engineering infrastructure is crucial to ensuring that the structures can continue to function properly. An important aspect of this...
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Exploiting Adaptive Crop and Deformable Convolution for Road Damage Detection
Road damage detection (RDD) based on computer vision plays an important role in road maintenance. Unlike conventional object detection, it is very...
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Compression damage mechanism and damage detection of Aronia melanocarpa based on nuclear magnetic resonance tests
In the process of mechanization production and processing of Aronia melanocarpa , mechanical damage will be caused by compression, which is difficult...
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On-machine detection of face milling cutter damage based on machine vision
Aiming at the problems of uneven illumination at the edge of the surface damage image of the face milling cutter, the blade line at the damage cannot...
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Machine learning models for damage detection in steel beams
Early-stage damage detection in structural elements such as beams, columns, and slabs subjected to various loads will aid in planning retrofitting...
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Real-Time Damage Detection Method for Conveyor Belts Based on Improved YoloX
To tackle the issues of high training expense, inadequate real-time functionality, and insufficient reliability in deep neural network-based visual...
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Image-based machine learning approach for structural damage detection through wavelet transforms
Structural integrity is essential for safety in infrastructure, as it can help prevent catastrophic failures and financial losses. The significance...
