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Virtual Axle Detector Based on Analysis of Bridge Acceleration Measurements by Fully Convolutional Network
In the practical application of the Bridge Weigh-In-Motion (BWIM) methods, the position of the wheels or axles during the passage of a vehicle is a prerequisite in most cases. To avoid the use of conventional axle detectors and bridge type-specific methods, we propose a novel method for axle detecti...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9692483/ https://www.ncbi.nlm.nih.gov/pubmed/36433559 http://dx.doi.org/10.3390/s22228963 |