A Sensor Fusion Method Based on an Integrated Neural Network and Kalman Filter for Vehicle Roll Angle Estimation

This article presents a novel estimator based on sensor fusion, which combines the Neural Network (NN) with a Kalman filter in order to estimate the vehicle roll angle. The NN estimates a “pseudo-roll angle” through variables that are easily measured from Inertial Measurement Unit (IMU) sensors. An...

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Detalles Bibliográficos
Autores principales: Vargas-Meléndez, Leandro, Boada, Beatriz L., Boada, María Jesús L., Gauchía, Antonio, Díaz, Vicente
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5038678/
https://www.ncbi.nlm.nih.gov/pubmed/27589763
http://dx.doi.org/10.3390/s16091400

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5038678/
https://www.ncbi.nlm.nih.gov/pubmed/27589763
http://dx.doi.org/10.3390/s16091400

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