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...
Main Authors: | Zhenfeng Wang, Yechen Qin, Liang Gu, Mingming Dong |
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Format: | Article |
Language: | English |
Published: |
IEEE
2017-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8101477/ |
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