DocumentCode
1807581
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
fYear
1995
fDate
28-29 Sep 1995
Firstpage
281
Lastpage
284
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Applications, 1995., Proceedings of the 4th IEEE Conference on
Conference_Location
Albany, NY
Print_ISBN
0-7803-2550-8
Type
conf
DOI
10.1109/CCA.1995.555716
Filename
555716
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