Mechanical Sciences
Mechanical Sciences
Mechanical Sciences
Articles | Volume 13, issue 2
Articles | Volume 13, issue 2
https://doi.org/10.5194/ms-13-735-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/ms-13-735-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 13, issue 2
Research article
 | 
25 Aug 2022
Research article |  | 25 Aug 2022

A comparative study of the unscented Kalman filter and particle filter estimation methods for the measurement of the road adhesion coefficient

Gengxin Qi, Xiaobin Fan, and Hao Li

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Latest update: 15 Nov 2024
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Short summary
The road adhesion coefficient is of profound significance for the vehicle active safety control system and is one of the core technologies of future autonomous driving. Based on the unscented Kalman filter (UKF) and particle filter (PF) algorithms, a road adhesion coefficient estimator is designed and simulations are carried out. To verify the feasibility and robustness of the algorithms on a real road, a hub-based motor vehicle test platform is built to complete real vehicle experiments.
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