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In order to meet the requirements of lateral velocity (vy) and longitudinal velocity (vx) in vehicle active safety control systems, and to modify the impact of noise change on the estimation accuracy, a novel method based on Adaptive Kalman Filter (AKF) is proposed for estimation of vy and vx in this paper by updating the mean and covariance of noise online. This method is evaluated under a variety...
Due to use sensors to measure vy and vx are very expensive, it is necessary to estimate vy and vx from other variables measured easily. A novel method based on Adaptive Kalman Filter (AKF) is proposed for estimation of vy and vx in this paper by updating the mean and covariance of noise online. The estimation values are compared with simulator values from CarSim. The results demonstrate that the proposed...
In order to meet the cost requirement of side slip angle measured directly in vehicle active safety control systems, a new combined observer for estimating side slip angle is proposed. In the observer, the adaptive Kalman filter and full-order state observer are employed. Effectiveness of presented method is confirmed by simulation of sinusoidal driving and double lane maneuver. The results show that...
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