Vehicle System State Estimation Based on Adaptive Unscented Kalman Filtering Combing With Road Classification

Vehicle System State Estimation Based on Adaptive Unscented Kalman Filtering Combing With Road Classification

This paper presents a new method to address issues associated with vehicle system state estimation using an unscented Kalman filter (UKF) with considering full-car system and nonlinear tire force under various international standards organization (ISO) road conditions. Due to the fact that practical...

Full description

Bibliographic Details
Main Authors: Zhenfeng Wang, Yechen Qin, Liang Gu, Mingming Dong
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Access
Subjects:
State estimation
AUKF
process noise variance
measurement noise covariance
vehicle system
Online Access:https://ieeexplore.ieee.org/document/8101477/

Internet

https://ieeexplore.ieee.org/document/8101477/

Similar Items