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gptkbp:instanceOf
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gptkb:algorithm
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gptkbp:advantage
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Handles nonlinear, non-Gaussian systems
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gptkbp:alsoKnownAs
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gptkb:Sequential_Monte_Carlo_method
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gptkbp:basedOn
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gptkb:Monte_Carlo_methods
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gptkbp:citation
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Novel approach to nonlinear/non-Gaussian Bayesian state estimation (1993)
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gptkbp:firstDescribed
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gptkb:Gordon,_Salmond,_and_Smith
1993
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gptkbp:hasConcept
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Importance sampling
Particles represent hypotheses
Resampling
Weighting
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https://www.w3.org/2000/01/rdf-schema#label
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Particle filter
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gptkbp:introducedIn
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1990s
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gptkbp:limitation
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Computationally expensive
Particle degeneracy
Sample impoverishment
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gptkbp:mathematicalFoundation
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gptkb:Probability_theory
Bayesian statistics
Stochastic processes
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gptkbp:notableFor
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gptkb:SLAM_(Simultaneous_Localization_and_Mapping)
Financial time series analysis
Object tracking
Robot localization
Speech recognition
Weather prediction
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gptkbp:notableVariant
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gptkb:Bootstrap_filter
gptkb:Rao-Blackwellized_particle_filter
gptkb:Unscented_particle_filter
Auxiliary particle filter
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gptkbp:relatedTo
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gptkb:Kalman_filter
gptkb:Hidden_Markov_model
Markov chain
Bayesian filter
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gptkbp:requires
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Observation model
Random number generation
Transition model
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gptkbp:step
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Prediction
Resampling
Update
Weight normalization
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gptkbp:usedFor
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Bayesian inference
Nonlinear filtering
State estimation
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gptkbp:usedIn
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gptkb:robot
gptkb:signal_processing
Computer vision
Navigation
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gptkbp:bfsParent
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gptkb:Kalman_filter
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gptkbp:bfsLayer
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4
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