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- W2017065830 abstract "ABSTRACTAccurate knowledge on the true ground speed of a vehicle, if available, can be used to enhance advanced vehicle dynamics control systems such as anti-lock brake systems (ABS) and traction control systems (TCS) control schemes. This article describes a fuzzy rule-based Kalman filtering technique that employs an additional accelerometer to complement the wheel-based speed sensor, and produce a more accurate estimation of the true speed of a vehicle. Application of the fuzzy logic rule-based Kalman filter shows that better estimates of the true speed can be achieved even under significant braking skid and traction slip conditions." @default.
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- W2017065830 date "1995-01-01" @default.
- W2017065830 modified "2023-09-25" @default.
- W2017065830 title "Fuzzy Logic Rule-Based Kalman Filter for Estimating True Speed of A Ground Vehicle" @default.
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- W2017065830 doi "https://doi.org/10.1080/10798587.1995.10750628" @default.
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