Editors: Sequential Monte Carlo Methods in Practice
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Cites methods from "Editors: Sequential Monte Carlo Met..."
...The FastSLAM algorithm implements the path estimator p(st j zt; ut; nt) using a modified particle filter [ 4 ]....
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Cites background or methods from "Editors: Sequential Monte Carlo Met..."
...Particle filters, as basic statistical tools, have become popular for tracking and position estimation in the last few years, as for example documented by a forthcoming book on this topic [ 18 ]....
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...In the statistical literature, it is known as particle filters [17, 18 ,46,58], and recently computer vision researchers have proposed the same algorithm under the name of condensation algorithm [33]....
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...Bayes filters have been applied to estimation problems for decades, and a recent interest in Monte Carlo approximations [ 18 ,26] suggests that the probabilistic paradigm is well suited for a broad range of state estimation problems in noisy temporal domains....
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