- Evaluation and optimisation of pre|trained CNN models for asphalt ...🔍
- Crack Detection and Classification in Moroccan Pavement Using ...🔍
- Fully Convolutional Networks for Automatic Pavement Crack ...🔍
- Road Crack Detection using Deep Learning Technique🔍
- Machine learning|based pavement crack detection🔍
- Automatic Road Crack Detection Using Convolutional Neural ...🔍
- Data|driven approach for AI|based crack detection🔍
- Transfer learned deep feature based crack detection using support ...🔍
Automatic Pavement Crack Detection and Classification Using ...
Evaluation and optimisation of pre-trained CNN models for asphalt ...
[14] developed an automated approach for the detection and classification of pavement cracks. By implementing TL through the evaluation of a pre ...
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 ( ...
Fully Convolutional Networks for Automatic Pavement Crack ...
In literature, we find a big variety of algorithms and procedures for automatic pavement crack detection. Nevertheless, most employ non-public datasets, which ...
Road Crack Detection using Deep Learning Technique - YouTube
Video part of Mapmyops Geo-Blog Article - https://www.mapmyops.com/post/geo-analytics-for-damage-assessment Video Case Details- Explaining ...
Machine learning-based pavement crack detection, classification ...
The detection, classification, and characterization of pavement cracks are critical for maintaining safe road conditions.
Automatic Road Crack Detection Using Convolutional Neural ...
Crack detection in pavements is a critical task for infrastructure maintenance, but it often requires extensive manual labeling of training ...
Data-driven approach for AI-based crack detection - Frontiers
The research concludes that deep learning-based methods used for crack classification, localization and segmentation have shown better performance than ...
Transfer learned deep feature based crack detection using support ...
Lin et al., used hidden Markov random field-expectation–maximization (HMRF–EM) for automatic pavement crack detection, with 2 major modules.
Automatic Pavement Crack Identification Based on an Improved C ...
A pavement crack identification method based on an improved C-mask region-based convolutional neural network (R-CNN) model is proposed
Road crack detection using convolutional neural network
Objectives: The proposed research work detects road cracks in a given set of images. In addition, it identifies the longitudinal type of crack in given crack ...
Use of Parallel ResNet for High-Performance Pavement Crack ... - IRIS
Automatic detection and classification of defect on road pavement using anisotropy measure. ... Automatic crack detection on road pavements using.
Ensemble of Deep Convolutional Neural Networks for Automatic ...
Automated pavement crack detection and measurement are important road issues. Agencies have to guarantee the improvement of road safety.
An automatic image processing based on Hough transform ...
An automatic image processing based on Hough transform algorithm for pavement crack detection and classification - Author: Sandra Matarneh, Faris Elghaish, ...
Automated highway pavement crack recognition under complex ...
Due to the presence of numerous interferences, recognizing highway pavement cracks in complex environments poses a significant challenge.
Unsupervised Deep Learning for Road Crack Classification by ...
AbstractPavement crack detection, classification, and characterization are key components of automatic pavement monitoring systems.
Abstract— A method how to improve the coverage of single faults in combinational circuits is proposed. The method is based on Concurrent Error Detection, ...
A Pavement Crack Detection and Evaluation Framework of UAV ...
This study develops automatic crack detection models based on mainstream deep learning algorithms(namely, Faster-RCNN, YOLOv5s, YOLOv7-tiny, and ...
Pavement crack detection based on point cloud data and data fusion
The latest methods use image processing and computer vision technology to automatically detect pavement cracks and other pavement distresses.
Intelligent identification of pavement cracks based on PSA-Net
During the training process, it improves the accuracy of automatic road crack recognition by nested sample weighting to equalize the loss caused by simple and ...
Automatic image-based road crack detection methods - DiVA
To examine the performance of the methods, their classification precision was compared. The best-acquired precision with the trained deep learning model was 98% ...