TY - JOUR N2 - 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. L1 - http://journals.pan.pl/Content/108103/PDF/art07.pdf L2 - http://journals.pan.pl/Content/108103 PY - 2018 IS - No 3 EP - 516 DO - 10.24425/123902 KW - vehicle state estimation KW - sideslip angle KW - recursive least squares KW - multi-sensor information fusion KW - pseudo-measurements A1 - Chen, Te A1 - Chen, Long A1 - Cai, Yingfeng A1 - Xu, Xing PB - Polish Academy of Sciences Committee on Metrology and Scientific Instrumentation VL - vol. 25 DA - 2018.10.01 T1 - Estimation of vehicle sideslip angle via pseudo-multisensor information fusion method SP - 499 UR - http://journals.pan.pl/dlibra/publication/edition/108103 T2 - Metrology and Measurement Systems ER -