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 …
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 …
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 …
Feature pyramid and hierarchical boosting network for pavement crack detection
Pavement crack detection is a critical task for insuring road safety. Manual crack detection is
extremely time-consuming. Therefore, an automatic road crack detection method is required …
extremely time-consuming. Therefore, an automatic road crack detection method is required …
[HTML][HTML] 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 …
Deepcrack: Learning hierarchical convolutional features for crack detection
Cracks are typical line structures that are of interest in many computer-vision applications. In
practice, many cracks, eg, pavement cracks, show poor continuity and low contrast, which …
practice, many cracks, eg, pavement cracks, show poor continuity and low contrast, which …
Machine learning techniques for pavement condition evaluation
N Sholevar, A Golroo, SR Esfahani - Automation in Construction, 2022 - Elsevier
Pavement management systems play a significant role in country's economy since road
authorities are concerned about preserving their priceless road assets for a longer time to …
authorities are concerned about preserving their priceless road assets for a longer time to …
[HTML][HTML] New innovations in pavement materials and engineering: A review on pavement engineering research 2021
Sustainable and resilient pavement infrastructure is critical for current economic and
environmental challenges. In the past 10 years, the pavement infrastructure strongly …
environmental challenges. In the past 10 years, the pavement infrastructure strongly …
Deep convolutional neural networks with transfer learning for computer vision-based data-driven pavement distress detection
Automated pavement distress detection and classification has remained one of the high-
priority research areas for transportation agencies. In this paper, we employed a Deep …
priority research areas for transportation agencies. In this paper, we employed a Deep …
Road crack detection using deep convolutional neural network
Automatic detection of pavement cracks is an important task in transportation maintenance
for driving safety assurance. However, it remains a challenging task due to the intensity …
for driving safety assurance. However, it remains a challenging task due to the intensity …