Who Cited It

A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking

2002 · IEEE Transactions on Signal Processing · 11,564 citations · 3 from inside this corpus

M.S. Arulampalam low, Simon Maskell, Neil Gordon, Tim C Clapp low

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.

A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking (2002)A tutorial on particle filter…A tutorial on hidden Markov models and selected applications in speech recognition (1989)A tutorial on hidden Markov m…Novel approach to nonlinear/non-Gaussian Bayesian state estimation (1993)Novel approach to nonlinear/n…An introduction to hidden Markov models (1986)An introduction to hidden Mar…On sequential Monte Carlo sampling methods for Bayesian filtering (2000)On sequential Monte Carlo sam…The unscented Kalman filter for nonlinear estimation (2002)The unscented Kalman filter f…Monte Carlo Filter and Smoother for Non-Gaussian Nonlinear State Space Models (1996)Monte Carlo Filter and Smooth…Multitarget-Multisensor Tracking: Principles and Techniques (1995)Multitarget-Multisensor Track…Bayesian Forecasting and Dynamic Models (1997)Bayesian Forecasting and Dyna…The Unscented Particle Filter (2000)The Unscented Particle FilterEarthquake shakes Twitter users (2010)Earthquake shakes Twitter use…Dynamic bayesian networks: representation, inference and learning (2002)Dynamic bayesian networks: re…A Tutorial on Particle Filtering and Smoothing: Fifteen years later (2008)A Tutorial on Particle Filter…
12 of 12 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
A tutorial on hidden Markov models and selected applications in speech recognition198922,910
Novel approach to nonlinear/non-Gaussian Bayesian state estimation19937,639
An introduction to hidden Markov models19864,812
On sequential Monte Carlo sampling methods for Bayesian filtering20004,459
The unscented Kalman filter for nonlinear estimation20023,991
Monte Carlo Filter and Smoother for Non-Gaussian Nonlinear State Space Models19962,225
Multitarget-Multisensor Tracking: Principles and Techniques19952,163
Bayesian Forecasting and Dynamic Models19971,963
The Unscented Particle Filter20001,419

What cites it, inside the corpus

PaperYearCited
Earthquake shakes Twitter users20103,676
Dynamic bayesian networks: representation, inference and learning20022,604
A Tutorial on Particle Filtering and Smoothing: Fifteen years later20081,407

Links

DOI · OpenAlex record

Topics

Target Tracking and Data Fusion in Sensor NetworksComputer Science
Gaussian Processes and Bayesian InferenceComputer Science
Bayesian Methods and Mixture ModelsComputer Science

Is this record sound?

complete

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

  • supports4 author record(s) attached.
  • supports48 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 2026-09-04T03:58:40+00:00.

sha256 7e3d99a592f7f61f…