GP-SUM. Gaussian Process Filtering of non-Gaussian Beliefs
This work studies the problem of stochastic dynamic filtering and state propagation with complex beliefs. The main contribution is GP-SUM, a filtering algorithm tailored to dynamic systems and observation models expressed as Gaussian Processes (GP), and to states represented as a weighted Sum of Gau...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Springer International Publishing,
2022-01-14T16:58:41Z.
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| Subjects: | |
| Online Access: | Get fulltext |