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...

Descripción completa

Detalles Bibliográficos
Autores principales: Lorenzen, Steven Robert, Riedel, Henrik, Rupp, Maximilian Michael, Schmeiser, Leon, Berthold, Hagen, Firus, Andrei, Schneider, Jens
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9692483/
https://www.ncbi.nlm.nih.gov/pubmed/36433559
http://dx.doi.org/10.3390/s22228963

Ejemplares similares