IoV-fog-cloud framework for road anomalies detection using SVM-nAVDD approach
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
https://link.springer.com/content/pdf/10.1007/s12652-022-04358-y.pdf
Reference36 articles.
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4. Carlos MR, Aragón ME, González LC et al (2018) Evaluation of detection approaches for road anomalies based on accelerometer readings-addressing who’s who. IEEE Trans Intell Transp Syst 19(10):3334–3343
5. Dong H, Song K, Wang Q et al (2021) Deep metric learning-based for multi-target few-shot pavement distress classification. IEEE Trans Ind Inform 18(3):1801–1810
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1. Pothole detection and International Roughness Index (IRI) calculation using ATVs for road monitoring;Scientific Reports;2024-08-26
2. Crowdsensing for Road Pavement Condition Monitoring: Trends, Limitations, and Opportunities;IEEE Access;2023
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