Adaptive Kalman Filter-based Yaw Rate Estimation Using Accelerometers and Wheel Speed Sensors (CROSBI ID 556432)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Hrgetić, Mario ; Deur, Joško ; Pavković, Danijel ; Lakehal-Ayat, Mohsen ; Tseng, Eric
engleski
Adaptive Kalman Filter-based Yaw Rate Estimation Using Accelerometers and Wheel Speed Sensors
This paper presents a kinematic yaw rate estimator which combines measurements obtained from a pair of accelerometers and ABS wheel speed sensors of the non-driven wheels. The Extended Kalman Filter methodology has been used for realization of this sensor fusion-based estimator. The estimator adapts to variations in reliability levels of individual sensors. The estimator performance is validated and corresponding estimation errors are analyzed by computer simulations for different driving maneuvers.
Yaw rate; sensor fusion; adaptive kinematic estimation; Kalman filter; accelerometers; wheel speed sensors
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
Podaci o prilogu
1-8.
2009.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of the 2009 ASME Dynamic Systems and Control Conference (DSCC 2009), Hollywood, California, USA, 2009.
Podaci o skupu
2009 ASME Dynamic Systems and Control Conference
predavanje
12.10.2009-14.10.2009
Los Angeles (CA), Sjedinjene Američke Države