Who Cited It

The Unscented Particle Filter

2000 · 1,419 citations · 6 from inside this corpus

Rudolph van der Merwe, Arnaud Doucet, Nando de Freitas, Eric A. Wan

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

The Unscented Particle Filter (2000)The Unscented Particle FilterBayesian Data Analysis (1995)Bayesian Data AnalysisNovel approach to nonlinear/non-Gaussian Bayesian state estimation (1993)Novel approach to nonlinear/n…New extension of the Kalman filter to nonlinear systems (1997)New extension of the Kalman f…On sequential Monte Carlo sampling methods for Bayesian filtering (2000)On sequential Monte Carlo sam…A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking (2002)A tutorial on particle filter…The unscented Kalman filter for nonlinear estimation (2002)The unscented Kalman filter f…Dynamic bayesian networks: representation, inference and learning (2002)Dynamic bayesian networks: re…An Introduction to MCMC for Machine Learning (2003)An Introduction to MCMC for M…Kalman Filtering and Neural Networks (2001)Kalman Filtering and Neural N…A Tutorial on Particle Filtering and Smoothing: Fifteen years later (2008)A Tutorial on Particle Filter…
10 of 10 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.
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What this paper cites, inside the corpus

PaperYearCited
Bayesian Data Analysis199513,754
Novel approach to nonlinear/non-Gaussian Bayesian state estimation19937,639
New extension of the Kalman filter to nonlinear systems19975,305
On sequential Monte Carlo sampling methods for Bayesian filtering20004,459

What cites it, inside the corpus

PaperYearCited
A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking200211,564
The unscented Kalman filter for nonlinear estimation20023,991
Dynamic bayesian networks: representation, inference and learning20022,604
An Introduction to MCMC for Machine Learning20032,430
Kalman Filtering and Neural Networks20012,404
A Tutorial on Particle Filtering and Smoothing: Fifteen years later20081,407

Links

OpenAlex record

Topics

Target Tracking and Data Fusion in Sensor NetworksComputer Science
Bayesian Methods and Mixture ModelsComputer Science
Water Systems and OptimizationEngineering

Is this record sound?

complete

Nothing in this record contradicts itself and no field we check is missing.

  • supports4 author record(s) attached.
  • supports9 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:59+00:00.

sha256 59007f057c7dae86…