Statements (34)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:algorithm
|
| gptkbp:application |
gptkb:navigation
gptkb:signal_processing economics robotics guidance systems |
| gptkbp:assumes |
Gaussian noise
linear system |
| gptkbp:field |
gptkb:estimation_theory
gptkb:signal_processing control theory |
| gptkbp:firstPublished |
1960
|
| https://www.w3.org/2000/01/rdf-schema#label |
Kalman filters
|
| gptkbp:input |
noisy measurements
|
| gptkbp:inventedBy |
gptkb:Rudolf_E._Kálmán
|
| gptkbp:namedAfter |
gptkb:Rudolf_E._Kálmán
|
| gptkbp:output |
optimal state estimate
|
| gptkbp:purpose |
estimate the state of a dynamic system
|
| gptkbp:relatedTo |
Bayesian estimation
state-space model particle filter least squares estimation |
| gptkbp:type |
recursive filter
|
| gptkbp:usedIn |
gptkb:GPS
autonomous vehicles finance weather forecasting aircraft navigation |
| gptkbp:variant |
gptkb:Ensemble_Kalman_filter
gptkb:Extended_Kalman_filter gptkb:Unscented_Kalman_filter |
| gptkbp:bfsParent |
gptkb:dynamic_Bayesian_network
gptkb:dynamic_Bayesian_networks |
| gptkbp:bfsLayer |
7
|