Unsupervised deep learning for road crack classification by fusing convolutional neural network and k_means clustering

W Li, J Huyan, R Gao, X Hao, Y Hu… - Journal of Transportation …, 2021 - ascelibrary.org
Pavement crack detection, classification, and characterization are key components of
automatic pavement monitoring systems. Most of the currently acceptable methods used for …

Comparing different deep learning architectures as vision-based multi-label classifiers for identification of multiple distresses on asphalt pavement

AC Espindola, M Rahman… - Transportation …, 2023 - journals.sagepub.com
Distress measurement is essential in pavement management. Image-based distress
identification is increasingly becoming an integral part of traffic speed network-level road …

Pothole and patch detection on asphalt pavement using deep convolutional neural network

AC Espíndola, GTM Freitas, EF Nobre Júnior - 2021 - repositorio.ufc.br
The main obstacles to the widespread use of the PMS are the high financial and time costs
for carrying out on-site assessments and the difficulty of processing and analyzing the data …

Pavement Surface Type Classification Based on Deep Learning to the Automatic Pavement Evaluation System

AC Espíndola, EF Nobre Júnior, ET Silva Júnior - 2021 - repositorio.ufc.br
. Computer vision techniques, image processing, and machine learning became
incorporated into an automatic pavement evaluation system with technological advances …

[PDF][PDF] Open Anomaly Detection Benchmark (OADB): A benchmark for evaluation of anomaly detection algorithms

M Shah Zaib - 2021 - duo.uio.no
There has been a significant rise in data generated and collected through various sources.
Machine learning algorithms are used to find meaningful information from this data. Among …

[PDF][PDF] APLICAÇÃO DE APRENDIZAGEM PROFUNDA PARA DETECÇÃO AUTOMÁTICA DE SINALIZAÇÃO VERTICAL EM RODOVIAS

L da Silva Nascimento, AC Espíndola… - anpet.org.br
RESUMO A sinalização é de extrema importância para a redução dos números de
acidentes que ocorrem nas rodovias. Para manter a atenção dos usuários, no entanto, é …