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Vehicle dynamic state estimation: state of the art schemes and perspectives
Author(s) -
Hongyan Guo,
Dongpu Cao,
Hong Chen,
Chen Lv,
Huaji Wang,
Siqi Yang
Publication year - 2018
Publication title -
ieee/caa journal of automatica sinica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.277
H-Index - 41
eISSN - 2329-9274
pISSN - 2329-9266
DOI - 10.1109/jas.2017.7510811
Subject(s) - computing and processing , communication, networking and broadcast technologies , general topics for engineers , robotics and control systems
Next-generation vehicle control and future autonomous driving require further advances in vehicle dynamic state estimation. This article provides a concise review, along with the perspectives, of the recent developments in the estimation of vehicle dynamic states. The definitions used in vehicle dynamic state estimation are first introduced, and alternative estimation structures are presented. Then, the sensor configuration schemes used to estimate vehicle velocity, sideslip angle, yaw rate and roll angle are presented. The vehicle models used for vehicle dynamic state estimation are further summarized, and representative estimation approaches are discussed. Future concerns and perspectives for vehicle dynamic state estimation are also discussed.

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