A review of ground vehicle dynamic state estimations utilising GPS/INS

被引：88

作者：

Leung, King Tin ^{[1
]}

Whidborne, James F. ^{[1
]}

Purdy, David ^{[2
]}

Dunoyer, Alain ^{[3
]}

机构：

[1] Cranfield Univ, Sch Engn, Cranfield MK43 0AL, Beds, England

[2] Cranfield Univ, Dept Engn Syst & Management, Shrivenham, England

[3] Jaguar Land Rover, Coventry, W Midlands, England

来源：

VEHICLE SYSTEM DYNAMICS | 2011年 / 49卷 / 1-2期

关键词：

vehicle dynamics; estimations; GPS; INS; Kalman filter; POSITIONING SYSTEM GPS; KALMAN FILTER; PASSENGER VEHICLES; SIDESLIP ANGLE; VIRTUAL SENSOR; FATAL CRASHES; NAVIGATION; ERRORS;

D O I：

10.1080/00423110903406649

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

This paper provides an extensive overview of existing vehicle dynamic state estimators that utilise the in-car Inertial Navigation Sensors and Global Positioning System. The different approaches are categorised, the techniques are summarised and the limitations and advantages of each approach are provided. Recommendations for future research are also given. The review is intended to be fairly comprehensive, but with an emphasis on vehicle sideslip estimation.

引用

页码：29 / 58

页数：30