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gptkbp:instanceOf
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gptkb:algorithm
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gptkbp:alternativeName
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linear quadratic estimation
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gptkbp:application
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gptkb:navigation
gptkb:signal_processing
economics
guidance
robotics
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gptkbp:assumes
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Gaussian noise
linear system
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gptkbp:field
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gptkb:estimation_theory
gptkb:signal_processing
control theory
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gptkbp:form
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state-space model
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|
https://www.w3.org/2000/01/rdf-schema#label
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Kalman Filter
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gptkbp:introducedIn
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1960
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gptkbp:inventedBy
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gptkb:Rudolf_E._Kálmán
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gptkbp:namedAfter
|
gptkb:Rudolf_E._Kálmán
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gptkbp:openSource
|
gptkb:MATLAB
C++ (Eigen)
Python (filterpy)
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gptkbp:predictionStep
|
time update
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gptkbp:purpose
|
estimate the state of a dynamic system
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gptkbp:relatedTo
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gptkb:Extended_Kalman_Filter
gptkb:Unscented_Kalman_Filter
Particle Filter
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gptkbp:type
|
recursive filter
|
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gptkbp:updateStep
|
measurement update
|
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gptkbp:usedIn
|
gptkb:GPS
aerospace engineering
autonomous vehicles
finance
weather forecasting
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gptkbp:bfsParent
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gptkb:Recursive_Least_Squares
gptkb:Rao-Blackwellized_Particle_Filter
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gptkbp:bfsLayer
|
7
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