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Geometry-Driven Stochastic Modeling of SE(3) States Based on Dual Quaternion Representation

机译:基于双四元数表示的SE(3)态的几何驱动随机建模

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We present a novel approach to stochastically model uncertain 6-DoF rigid body motions represented by dual quaternions. Unlike conventional methods relying on the local linearization of the nonlinear SE(3) group, the proposed distribution directly models uncertainty on the manifold of unit dual quaternions. For that, the Bingham distribution is employed on the 3-sphere to model the real part, at which the tangent plane of the hypersphere is spanned by a basis preserving the Bingham principal directions via parallel transport. The conditioning dual part is then expressed with respect to the transported basis and modeled by a Gaussian distribution. This enables the probabilistic interpretation of the correlation between rotation and translation terms. We further introduce the corresponding sampling-approximation scheme for the proposed density, based on which unscented transform-based 6-DoF pose filtering approaches are established and evaluated with simulations.
机译:我们提出了一种新颖的方法来随机模拟由双四元数表示的不确定6自由度刚体运动。与依赖于非线性SE(3)组的局部线性化的常规方法不同,所提出的分布直接对单元双四元数流形上的不确定性进行建模。为此,在3球体上使用Bingham分布来对实部建模,在该实部上,超球面的切平面由通过平行传输保留Bingham主方向的基础所覆盖。然后,针对运输基础表达条件对偶部分,并通过高斯分布进行建模。这使得能够对旋转项和翻译项之间的相关性进行概率解释。我们还针对提出的密度引入了相应的采样近似方案,在此基础上建立了无味的基于变换的6自由度姿势滤波方法,并通过仿真对其进行了评估。

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