Title :
Estimation of vehicle speed fuzzy-estimation in comparison with Kalman-filtering
Author :
Daiß, A. ; Kiencke, U.
Author_Institution :
Inst. for Ind. Inf. Syst., Karlsruhe Univ., Germany
Abstract :
The aim of the system described is to measure the wheel slip with an accuracy of 1% without using expensive sensors. The multisensor data fusion is used with the integration of the commonly used antilock braking system wheel speed sensors. Two approaches are compared whereby the fuzzy approach is new and the Kalman approach is taken from the literature. Furthermore the possibility of estimating the road slope with this system is shown
Keywords :
automobiles; ABS wheel speed sensors; Kalman filter; antilock braking system; automobiles; fuzzy logic; fuzzy-estimation; multisensor data fusion; speed estimation; wheel slip; Acceleration; Accelerometers; Microwave sensors; Roads; Sensor fusion; Sensor phenomena and characterization; Sensor systems; Vehicle dynamics; Velocity measurement; Wheels;
Conference_Titel :
Control Applications, 1995., Proceedings of the 4th IEEE Conference on
Conference_Location :
Albany, NY
Print_ISBN :
0-7803-2550-8
DOI :
10.1109/CCA.1995.555716
