Abstract: We present a novel recursive Bayesian estimation framework using B-splines for continuous-time 6-DoF dynamic motion estimation. The state vector consists of a recurrent set of position ...
Abstract: In this article, we present a principled study on establishing a recursive Bayesian estimation scheme using B-splines in Euclidean spaces. The use of recurrent control points as the state ...
摘要: Vehicle tracking plays a crucial role in intelligent transportation, autonomous driving, and video surveillance. However, challenges such as occlusion, multi-target interference, and nonlinear ...
Recursive Bayesian inference, in which posterior beliefs are updated in light of accumulating data, is a tool for implementing Bayesian models in applications with streaming and/or very large data ...
Grid-based Bayesian Estimation Exploiting Sparsity (GBEES) is a non-Gaussian recursive Bayesian filtering method for propagating non-Gaussian uncertainty subject to nonlinear dynamics and measurement ...
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