integrated kalman filter 组合卡尔曼滤波
This paper presents an adaptive data fusion method which uses a fuzzy logic controller to online adjust the Kalman filter, and focuses on its application to the integrated GPS/INS navigation.
提出了一种利用模糊逻辑控制器来在线调节卡尔曼滤波器的自适应数据融合方法，并着重研究了其在GPS/INS组合导航中的应用。
As the conventional Kalman filter is liable to get divergence in integrated navigation system data fusion, an artificial neural network based on the genetic algorithms was applied in the system.
鉴于常规卡尔曼滤波算法组合导航系统数据融合算法中，存在易于发散的缺陷，尝试将遗传优化人工神经网络引入组合导航系统中。
The face motion could be estimated by using face skin color model integrated with feature based object recognition technique and extended Kalman filter.
以人脸肤色模型为基础，结合目标形状特征识别方法，并用扩展卡尔曼滤波估计目标运动轨迹，实现基于肤色的人脸实时跟踪鲁棒方法。
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