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When the fused variables are independent or the statistics of variables are known perfectly, Kalman filter is rigorous and yields minimum mean squared error estimate. But in most situations, it is impossible to guarantee that the fused variables are independent and even might be highly correlated. In that case, it is possible to "over estimate" the statistics. CI algorithm can achieve a...
Accurate estimation of longitudinal vehicle speed using general in-vehicle sensors like wheel speed sensors and accelerometers is crucial for good performance of vehicle dynamic control systems. Most of passenger vehicles are two-wheel drive, which provides speed measurement by wheel speed sensors of non-driven wheels. However, when wheels are under braking, this method is not reliable enough since...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.