Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/30015
Title: Real-Time Monitoring of Road Networks for Pavement Damage Detection Based on Preprocessing and Neural Networks
Authors: Shakhovska, N
Yakovyna, V
Mysak, M
Mitoulis, S-A
Argyroudis, S
Syerov, Y
Keywords: pavement;damage detection;convolutional neural network;convolutional neural network;YOLO architecture;machine learning;classification;neural networks;data preprocessing
Issue Date: 11-Oct-2024
Publisher: MDPI
Citation: Shakhovska, N. et al. (2024) 'Real-Time Monitoring of Road Networks for Pavement Damage Detection Based on Preprocessing and Neural Networks', Big Data and Cognitive Computing, 8 (10), 136, pp. 1 - 22. doi: 10.3390/bdcc8100136.
Abstract: This paper presents a novel multi-initialization model for recognizing road surface damage, e.g. potholes and cracks, on video using convolutional neural networks (CNNs) in real-time for fast damage recognition. The model is trained by the latest Road Damage Detection dataset, which includes four types of road damage. In addition, the CNN model is updated using pseudo-labeled images from semi-learned methods to improve the performance of the pavement damage detection technique. This study describes the use of the YOLO architecture and optimizes it according to the selected parameters, demonstrating high efficiency and accuracy. The results obtained can enhance the safety and efficiency of road pavement and, hence, its traffic quality and contribute to decision-making for the maintenance and restoration of road infrastructure.
Description: Data Availability Statement: Datasets are available by link https://www.kaggle.com/datasets/dataclusterlabs/potholes-or-cracks-on-road-image-dataset, accessed on 10 October 2022. Mysak M., Yakovyna V., Shakhovska N. (2023). Pothiles and cracks on road video and image detection system (Version 1.1.1) [Computer software]. Software Heritage, https://github.com/MysakMaksym/pothole-detection.git, accessed on 14 June 2024.
URI: https://bura.brunel.ac.uk/handle/2438/30015
DOI: https://doi.org/10.3390/bdcc8100136
Other Identifiers: ORCiD: Nataliya Shakhovska https://orcid.org/0000-0002-6875-8534
ORCiD: Vitaliy Yakovyna https://orcid.org/0000-0003-0133-8591
ORCiD: Stergios-Aristoteles Mitoulis https://orcid.org/0000-0001-7201-2703
ORCiD: Sotirios Argyroudis https://orcid.org/0000-0002-8131-3038
ORCiD: Yuriy Syerov https://orcid.org/0000-0002-5293-4791
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Appears in Collections:Dept of Civil and Environmental Engineering Research Papers

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