RCNN-GAN: an enhanced deep learning approach towards detection of road cracks

SF Mahenge, S Wambura, L Jiao - Proceedings of the 2022 6th …, 2022 - dl.acm.org
Automatic detection of road cracks is one of the significant aspects of road maintenance
systems. However, it involves a lot of complexities to accurately identify the cracks because …

Road crack detection using a single stage detector based deep neural network

TA Carr, MD Jenkins, MI Iglesias… - IEEE Workshop on …, 2018 - researchonline.gcu.ac.uk
Condition and deterioration of public and private infrastructure is an issue that directly affects
the majority of the world population. In this paper we propose the application of a Residual …

Deep convolutional neural networks for road crack detection: Qualitative and quantitative comparisons

J Fan, MJ Bocus, L Wang, R Fan - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Road crack detection is a crucial civil infrastructure inspection task. Road crack detection is
generally performed by either certified inspectors or structural engineers. Nevertheless, this …

An integrated CNN-RNN framework to assess road crack

TU Ahmed, MS Hossain, MJ Alam… - … on Computer and …, 2019 - ieeexplore.ieee.org
Road crack detection and road damage assessment are necessary to support driving safety
in a route network. Several unexpected incidents (eg road accidents) take place all over the …

A development of road crack detection system using deep learning-based segmentation and object detection

J Ha, K Park, M Kim - The Journal of Society for e-Business …, 2021 - koreascience.kr
Many recent studies on deep learning-based road crack detection have shown significantly
more improved performances than previous works using algorithm-based conventional …

[PDF][PDF] Practical methods of image data preprocessing for enhancing the performance of deep learning based road crack detection

Y Shin, M Kim, KW Pak, D Kim - ICIC Express Letters, Part B …, 2020 - scholar.archive.org
This paper proposes practical preprocessing methods for effective training of the deep
learning model, taking into consideration the characteristics of image data used to detect …

[PDF][PDF] A Deep-Learning-Based Road Deterioration Notification and Road Condition Monitoring Framework.

Z Boucetta, AE Fazziki, ME Adnani - International Journal of Intelligent …, 2021 - inass.org
Road deteriorations threaten people 'safety as they are considered one of the major causes
of road accidents leading to significant human and material losses. Automatic detection of …

Automatic Road Surface Crack Detection Using Deep Learning Techniques

S Aravindkumar, P Varalakshmi… - Artificial Intelligence and …, 2021 - Springer
Road serves an irreplaceable tool of transportation. Yet, it is the house of tremendous
accidents. The common distresses that can affect the performance of road surface are crack …

Road crack detection using deep neural network based on attention mechanism and residual structure

P Jing, H Yu, Z Hua, S Xie, C Song - IEEE Access, 2022 - ieeexplore.ieee.org
Intelligent detection of road cracks is crucial for road maintenance and safety. because of the
interference of illumination and totally different background factors, the road crack extraction …

[HTML][HTML] A Novel Road Crack Detection Technology Based on Deep Dictionary Learning and Encoding Networks

L Fan, J Zou - Applied Sciences, 2023 - mdpi.com
Road crack detection is an important indicator of road detection. In real life, it is very
meaningful work to detect road cracks. With the rapid development of science and …