Cargando…
Real-Time Vehicle Roll Angle Estimation Based on Neural Networks in IoT Low-Cost Devices
The high rate of vehicle-crash victims has a fatal economic and social impact in today’s societies. In particular, road crashes where heavy vehicles are involved cause more severe damage because they are prone to rollover. For this reason, many researches are focused on developing RSC Roll Stability...
Autores principales: | García Guzmán, Javier, Prieto González, Lisardo, Pajares Redondo, Jonatan, Montalvo Martínez, Mat Max, L. Boada, María Jesús |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6069006/ https://www.ncbi.nlm.nih.gov/pubmed/29986499 http://dx.doi.org/10.3390/s18072188 |
Ejemplares similares
-
Design of Low-Cost Vehicle Roll Angle Estimator Based on Kalman Filters and an IoT Architecture
por: Garcia Guzman, Javier, et al.
Publicado: (2018) -
VEHIOT: Design and Evaluation of an IoT Architecture Based on Low-Cost Devices to Be Embedded in Production Vehicles
por: Pajares Redondo, Jonatan, et al.
Publicado: (2018) -
Simultaneous Estimation of Vehicle Roll and Sideslip Angles through a Deep Learning Approach
por: González, Lisardo Prieto, et al.
Publicado: (2020) -
LMI-Based H(∞) Controller of Vehicle Roll Stability Control Systems with Input and Output Delays
por: Redondo, Jonatan Pajares, et al.
Publicado: (2021) -
IoT device fabrication using roll-to-roll printing process
por: Phung, Thanh Huy, et al.
Publicado: (2021)