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.

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 ...

(PDF) Automatic Pavement Crack Detection and Classification ...

Moreover, the rich features at different levels are fused in an upsampling module to generate more detailed crack detection results. For crack classification, a ...

Automated Pavement Cracks Detection and Classification Using ...

This paper designs an effective pavement crack detection and classification based on the theoretical knowledge of deep learning to improve the detection ...

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 ...

Utilizing Convolutional Neural Networks. (CNNs), this method analyzing pavement images, automatically detecting crack and classifying them based on the severity ...

Automatic road crack detection and classification using multi-tasking ...

Automatic road crack detection is a prominent challenging task, in view of that, a novel approach is proposed using multi-tasking ...

Asphalt pavement crack detection and classification using deep ...

Therefore this task of roadway maintenance calls for an upgrade to automatically detect and classify pavement cracks that can save huge time and costs. In this ...

Efficient Pavement Crack Detection and Classification Using Custom ...

This research has been carried out to contribute towards developing an efficient pavement crack detection and classification system. This study uses state of ...

Pavement Crack Detection Method Based on Deep Learning Models

In order to improve the service level of a highway and realize the automatic detection of damaged pavement, some researchers propose the ...

Automated Pavement Crack Detection Using Deep Feature ...

Pavement crack detection plays a crucial role in ensuring road safety and reducing maintenance expenses. Recent advancements in deep learning (DL) ...

Pavement crack detection based on transformer network

A novel approach for automatic pavement crack inspection based on transformer network is proposed. · The proposed CT model can model the long-range pavement ...

Automatic road crack detection and classification using image ...

Automatic road crack detection and classification using image processing techniques, machine learning and integrated models in urban areas: A novel image ...

Highway Crack Detection and Classification Using UAV Remote ...

However, the traditional manual and vehicle-borne methods of detecting road cracks are inefficient, with a high rate of missed inspections. The ...

Pavement Crack Detection using Convolutional Neural Network

In this paper, we propose a method that applies a convolutional neural networks to detect cracks in pavement images.

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 Road Crack Detection Using Deep Convolutional Neural ...

An automated pavement distress analysis system based on the YOLO v2 deep learning framework is proposed that can help identify road anomalies in need of ...