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Two-Layer Nonlinear FIR Filter and Unscented Kalman Filter Fusion with Application to Mobile Robot Localization
Young Eun Kim
, Hyun Ho Kang
,
Choon Ki Ahn
*
*
Corresponding author for this work
Research output
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Article
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peer-review
7
Citations (Scopus)
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Dive into the research topics of 'Two-Layer Nonlinear FIR Filter and Unscented Kalman Filter Fusion with Application to Mobile Robot Localization'. Together they form a unique fingerprint.
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Keyphrases
Unscented Kalman Filter
100%
Two-layer
100%
Mobile Robot Localization
100%
FIR Filter
100%
Filter Fusion
100%
Finite Impulse Response Filters
50%
Finite Impulse Response
37%
Function-based
12%
Cost Function
12%
Mobile Robot
12%
Order of Accuracy
12%
Memory Structure
12%
Indoor Localization
12%
Iterative Form
12%
State Estimator
12%
Additional Filter
12%
Frobenius Norm
12%
Bayes Rule
12%
Nonlinear State Estimation
12%
Probabilistic Weights
12%
Engineering
Kalman Filter
100%
Mobile Robot
100%
FIR Filter
100%
Finite Impulse Response
60%
State Estimator
40%
Simulation Result
20%
Experimental Result
20%
Based Cost Function
20%
Frobenius Norm
20%
Estimated State
20%
Bayes Rule
20%