...不同,多模态融合主要可以分为:乘积组合(Product Combination),线性融合((Linear Fusion),非线性融合(Non-linear fusion)。
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The Kalman Filter is widely applied in the Information Fusion at the present, which can get the optimal estimate in the Linear-Gaussian model, but not applied in the nonlinear and non-Gaussian model.
目前在信息融合领域广泛使用的融合算法是卡尔曼滤波,它在线性高斯模型下能得到最优估计,但在非线性非高斯模型下则无法应用。
With these numerical integration methods as mathematics tools, the new tracking algorithm, non-linear estimators weighted fusion filter, is developed, we call it TNF.
以这些数值积分方法为数学工具,推导出了非线性估计子加权融合滤波器,本文中简称TNF。
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