A critical review and comparative study on image segmentation-based techniques for pavement crack detection
N Kheradmandi, V Mehranfar - Construction and Building Materials, 2022 - Elsevier
The prompt detection of early decay in the pavement could be an auspicious technique in
road maintenance. Admittedly, early crack detection allows preventive measures to be taken …
road maintenance. Admittedly, early crack detection allows preventive measures to be taken …
Computer vision framework for crack detection of civil infrastructure—A review
Civil infrastructure (eg, buildings, roads, underground tunnels) could lose its expected
physical and functional conditions after years of operation. Timely and accurate inspection …
physical and functional conditions after years of operation. Timely and accurate inspection …
Structural crack detection using deep convolutional neural networks
Abstract Convolutional Neural Networks (CNN) have immense potential to solve a broad
range of computer vision problems. It has achieved encouraging results in numerous …
range of computer vision problems. It has achieved encouraging results in numerous …
Automatic classification of asphalt pavement cracks using a novel integrated generative adversarial networks and improved VGG model
Crack development is increasingly intensified and causes pavement damage in recent
decades under extreme weather events. Although various auto-or semi-auto crack …
decades under extreme weather events. Although various auto-or semi-auto crack …
Image-based crack detection methods: A review
Annually, millions of dollars are spent to carry out defect detection in key infrastructure
including roads, bridges, and buildings. The aftermath of natural disasters like floods and …
including roads, bridges, and buildings. The aftermath of natural disasters like floods and …
Automatic recognition of asphalt pavement cracks using metaheuristic optimized edge detection algorithms and convolution neural network
H Nhat-Duc, QL Nguyen, VD Tran - Automation in Construction, 2018 - Elsevier
Crack detection is a crucial task in periodic pavement survey. This study establishes and
compares the performance of two intelligent approaches for automatic recognition of …
compares the performance of two intelligent approaches for automatic recognition of …
Comparison of histogram-based gradient boosting classification machine, random Forest, and deep convolutional neural network for pavement raveling severity …
H Nhat-Duc, T Van-Duc - Automation in Construction, 2023 - Elsevier
Raveling is a widely encountered defect found in asphalt pavements. Raveling deteriorates
riding safety and accelerates the development of other pavement defects. Therefore, timely …
riding safety and accelerates the development of other pavement defects. Therefore, timely …
Pavement distress detection methods: A review
A Ragnoli, MR De Blasiis, A Di Benedetto - Infrastructures, 2018 - mdpi.com
The road pavement conditions affect safety and comfort, traffic and travel times, vehicles
operating cost, and emission levels. In order to optimize the road pavement management …
operating cost, and emission levels. In order to optimize the road pavement management …
Computer vision applications in intelligent transportation systems: a survey
As technology continues to develop, computer vision (CV) applications are becoming
increasingly widespread in the intelligent transportation systems (ITS) context. These …
increasingly widespread in the intelligent transportation systems (ITS) context. These …
Survey on performance of deep learning models for detecting road damages using multiple dashcam image resources
Detecting road damage quickly and accurately facilitates the ability of road-maintenance
agencies to make timely repairs to road surfaces, maintain optimal road conditions, optimize …
agencies to make timely repairs to road surfaces, maintain optimal road conditions, optimize …