4.6 Article

Detection of Highway Pavement Damage Based on a CNN Using Grayscale and HOG Features

Related references

Note: Only part of the references are listed.
Review Construction & Building Technology

A critical review and comparative study on image segmentation-based techniques for pavement crack detection

Narges Kheradmandi et al.

Summary: The article emphasizes the significance of early detection of pavement decay in road maintenance, introduces the application of image processing in this field, and highlights the challenges in pavement image segmentation. The literature review indicates the need for further improvement on existing research results, providing a direction and guidance for future studies.

CONSTRUCTION AND BUILDING MATERIALS (2022)

Article Green & Sustainable Science & Technology

Use of Parallel ResNet for High-Performance Pavement Crack Detection and Measurement

Zhun Fan et al.

Summary: In this study, the use of Convolutional Neural Networks (CNNs) for crack identification in road pavement health and safety assessment is explored. A novel deep residual convolutional neural network called Parallel ResNet is proposed to overcome the limitations of existing methods. Experimental results demonstrate that Parallel ResNet achieves high accuracy in crack detection and measurement, making it a reliable method for pavement crack image analysis.

SUSTAINABILITY (2022)

Article Computer Science, Artificial Intelligence

A Deeply Supervised Convolutional Neural Network for Pavement Crack Detection With Multiscale Feature Fusion

Zhong Qu et al.

Summary: In this article, a deeply supervised convolutional neural network with a novel multiscale convolutional feature fusion module is proposed for crack detection, providing improved accuracy and performance. Experimental results demonstrate that the method outperforms other state-of-the-art crack detection, edge detection, and image segmentation methods in terms of F1-score and mean IU.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2022)

Article Construction & Building Technology

Convolutional neural network for pothole detection in asphalt pavement

Wanli Ye et al.

Summary: This study introduced the application of convolutional neural networks (CNNs) for pothole detection using digital images. Two CNNs were designed, trained, and tested with a high recognition precision. The results showed that the optimized CNN model had robustness in various real-world situations and outperformed traditional IPT methods in autonomously extracting pothole features.

ROAD MATERIALS AND PAVEMENT DESIGN (2021)

Article Computer Science, Artificial Intelligence

Pavement crack detection using hessian structure propagation

Qi Chen et al.

Summary: This paper presents a method for detecting pavement cracks by modeling their directional features, which successfully addresses the challenge of accurate crack identification in existing methods. Experimental results demonstrate that the proposed approach performs well in detecting cracks in images of various crack types and under different conditions.

ADVANCED ENGINEERING INFORMATICS (2021)

Article Computer Science, Artificial Intelligence

Pavement crack detection network based on pyramid structure and attention mechanism

Xuezhi Xiang et al.

IET IMAGE PROCESSING (2020)

Article Engineering, Civil

Pothole Detection Using Computer Vision and Learning

Amita Dhiman et al.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2020)

Article Computer Science, Artificial Intelligence

Multi-modal feature fusion for geographic image annotation

Ke Li et al.

PATTERN RECOGNITION (2018)

Article Computer Science, Artificial Intelligence

Elephant search algorithm applied to data clustering

Suash Deb et al.

SOFT COMPUTING (2018)

Article Computer Science, Artificial Intelligence

Visual analysis of asphalt pavement for detection and localization of potholes

Muhammad Haroon Yousaf et al.

ADVANCED ENGINEERING INFORMATICS (2018)

Article Computer Science, Interdisciplinary Applications

Automatic Pixel-Level Crack Detection and Measurement Using Fully Convolutional Network

Xincong Yang et al.

COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2018)

Article Engineering, Multidisciplinary

Bridging game theory and the knapsack problem: a theoretical formulation

Kelvin Kian Loong Wong

JOURNAL OF ENGINEERING MATHEMATICS (2015)

Article Computer Science, Artificial Intelligence

Pothole detection in asphalt pavement images

Christian Koch et al.

ADVANCED ENGINEERING INFORMATICS (2011)

Article Multidisciplinary Sciences

A Geometrical Perspective for the Bargaining Problem

Kelvin Kian Loong Wong

PLOS ONE (2010)