| Title: | A Study of Fusions of Multiple Estimates for Limit Cases |
| Authors: | Ajgl, Jiří Straka, Ondřej |
| Citation: | AJGL, J. STRAKA, O. A Study of Fusions of Multiple Estimates for Limit Cases. In Proceedings of the IEEE International Conference on Multisensor Fusion and Integration (MFI 2022). Cranfield, Spojené království: IEEE, 2022. s. 1-6. ISBN: 978-1-66546-026-2 , ISSN: neuvedeno |
| Issue Date: | 2022 |
| Publisher: | IEEE |
| Document type: | konferenční příspěvek ConferenceObject |
| URI: | 2-s2.0-85140982923 http://hdl.handle.net/11025/51445 |
| ISBN: | 978-1-66546-026-2 |
| ISSN: | neuvedeno |
| Keywords in different language: | Estimation fusion;multiple estimates;unknown correlation;Covariance Intersection |
| Abstract in different language: | Decentralised estimation often sacrifices optimality for solution simplicity, while within the fusion under unknown correlation, a worst-case type of optimality is adopted. This paper studies the gap between the simple solution and the optimal one for special cases. Namely, symmetric configurations are considered for infinite number of estimates and also for infinite dimension of the state to be estimated. In these academic cases, the optimal solution is better than the simple one by low tens percent, if the size of circumscribing balls is considered. In practice, much lower gap can be expected. |
| Rights: | Plný text je přístupný v rámci univerzity přihlášeným uživatelům. © IEEE |
| Appears in Collections: | Konferenční příspěvky / Conference papers (NTIS) Konferenční příspěvky / Conference Papers (KKY) OBD |
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