On the Application of Time Frequency Convolutional Neural Networks to Road Anomalies’ Identification with Accelerometers and Gyroscopes

The detection and identification of road anomalies and obstacles in the road infrastructure has been investigated by the research community using different types of sensors. This paper evaluates the detection and identification of road anomalies/obstacles using the data collected from the Inertial M...

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Detalles Bibliográficos
Autores principales: Baldini, Gianmarco, Giuliani, Raimondo, Geib, Filip
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7696481/
https://www.ncbi.nlm.nih.gov/pubmed/33182786
http://dx.doi.org/10.3390/s20226425

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7696481/
https://www.ncbi.nlm.nih.gov/pubmed/33182786
http://dx.doi.org/10.3390/s20226425

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