@ARTICLE{Chen_Te_Estimation_2018, author={Chen, Te and Chen, Long and Cai, Yingfeng and Xu, Xing}, volume={vol. 25}, number={No 3}, journal={Metrology and Measurement Systems}, pages={499-516}, howpublished={online}, year={2018}, publisher={Polish Academy of Sciences Committee on Metrology and Scientific Instrumentation}, 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.}, type={Artykuły / Articles}, title={Estimation of vehicle sideslip angle via pseudo-multisensor information fusion method}, URL={http://www.journals.pan.pl/Content/108103/PDF/art07.pdf}, doi={10.24425/123902}, keywords={vehicle state estimation, sideslip angle, recursive least squares, multi-sensor information fusion, pseudo-measurements}, }