Automated Pavement Cracks Detection and Classification Using ...

This paper proposes a methodology to detect and classify roadway pavement cracks using the well-known You Only Look Once (YOLO) version five (YOLOv5) and ...

Automatic Pavement Crack Detection and Classification Using ...

We propose a novel and efficient crack detection network that captures the crack context information by establishing a multiscale dilated convolution module.

This paper proposes a methodology to detect and classify roadway pavement cracks using the well-known You Only Look Once. (YOLO) version five (YOLOv5) and ...

Automated Asphalt Pavement Crack Detection and Classification ...

Abstract: Asphalt pavement defects on road surface contribute one of the most important factors for traffic accident. Research on asphalt pavement using ...

Automated Pavement Cracks Detection and Classification Using ...

Experimental results indicated that the precision of pavement crack detection reaches up to 67.3% under different illumination conditions and ...

[PDF] Automatic Pavement Crack Detection and Classification Using ...

An overarching framework for a universal and robust automatic method that simultaneously characterizes the type of crack and its severity level was ...

Automatic classification of asphalt pavement cracks using a novel ...

Current pavement crack detection consists mainly of three parts: data acquisition, crack recognition, and crack diagnosis [19]. Crack ...

Pavement Crack Detection and Classification using Deep Learning ...

This study introduces an innovative approach to enhance road safety by employing deep learning techniques for the automated detection of pavement cracks.

Automated pavement crack detection based on multiscale fully ...

Automatic pavement crack detection is essential for fast and efficient pavement maintenance and health measurement. And crack image data is ...

Automated Pavement Crack Detection Using Deep Feature ...

In this study, we propose a new approach for pavement crack detection that integrates deep learning for feature extraction, the whale optimization algorithm ( ...

Automated asphalt pavement damage rate detection based on ...

This study describes an innovative vision-based pavement crack detection strategy that provides a direct pavement surface condition index (PCI) for a specific ...

Efficient Pavement Crack Detection and Classification Using Custom ...

As a result, an efficient automated approach for detecting road cracks is essential for this development. Numerous issues, such as variations in intensity, ...

Automated Pixel‐Level Pavement Crack Detection on 3D Asphalt ...

The CrackNet, an efficient architecture based on the Convolutional Neural Network, is proposed in this article for automated pavement crack detection on 3D ...

Asphalt pavement crack detection and classification using deep ...

The aim of this research work is to automate the task of crack classification based on GDOT's protocol using deep learning techniques that can learn by ...

A two-step sequential automated crack detection and severity ...

In this study, a two-step sequential automated process detecting cracks and classifying severity of asphalt pavements is proposed.

Crack Detection and Classification in Moroccan Pavement Using ...

In this paper, we propose an automated methodology for crack detection and classification in Moroccan flexible pavements using Convolutional Neural Networks ( ...

Automated pavement crack detection and segmentation based on ...

A two-step pavement crack detection and segmentation method based on convolutional neural network was proposed in this paper.

Automated Pavement Cracks Detection and Classification Using ...

The researchers in this study wanted to explore the use of automated image processing techniques to detect and classify pavement cracks more ...

Efficient pavement crack detection and classification

It could be implemented in a vehicle traveling as fast as 130 kmh or 81 mph. 1 Introduction. Road safety is one of the main concerns nowadays.

Automated Pavement Distress Detection and Classification Using ...

Factors such as natural wear and tear and human activities contribute to the deterioration of road surfaces, leading to issues like potholes, cracks, and ...