@article{Chen_Te_Estimation_2018, author={Chen, Te and Chen, Long and Cai, Yingfeng and Xu, Xing}, howpublished={online}, year={2018}, abstract={
This paper presents a novel sideslip angle estimator based on the pseudo-multi-sensor fusion method. The
kinematics-based and dynamics-based sideslip angle estimators are designed for sideslip angle estimation.
Also, considering the influence of ill-conditioned matrix and model uncertainty, a novel sideslip angle estimator
is proposed based on the wheel speed coupling relationship using a modified recursive least squares
algorithm. In order to integrate the advantages of above three sideslip angle estimators, drawing lessons
from the multisensory information fusion technology, a novel thinking of sideslip angle estimator design is
presented through information fusion of pseudo-multi-sensors. Simulations and experiments were carried
out, and effectiveness of the proposed estimation method was verified.
}, title={Estimation of vehicle sideslip angle via pseudo-multisensor information fusion method}, type={Artykuły / Articles}, volume={vol. 25}, number={No 3}, journal={Metrology and Measurement Systems}, pages={499-516}, publisher={Polish Academy of Sciences Committee on Metrology and Scientific Instrumentation}, doi={10.24425/123902}, keywords={vehicle state estimation, sideslip angle, recursive least squares, multi-sensor information fusion, pseudo-measurements}, }