Design of Low-Cost Vehicle Roll Angle Estimator Based on Kalman Filters and an IoT Architecture

Design of Low-Cost Vehicle Roll Angle Estimator Based on Kalman Filters and an IoT Architecture

In recent years, there have been many advances in vehicle technologies based on the efficient use of real-time data provided by embedded sensors. Some of these technologies can help you avoid or reduce the severity of a crash such as the Roll Stability Control (RSC) systems for commercial vehicles....

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Bibliographic Details
Main Authors: Javier Garcia Guzman, Lisardo Prieto Gonzalez, Jonatan Pajares Redondo, Susana Sanz Sanchez, Beatriz L. Boada
Format: Article
Language:English
Published: MDPI AG 2018-06-01
Series:Sensors
Subjects:
real-time estimation
IoT
MEMS
low cost devices
Kalman Filter
vehicle dynamics
roll angle
Online Access:http://www.mdpi.com/1424-8220/18/6/1800

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http://www.mdpi.com/1424-8220/18/6/1800

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