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pro vyhledávání: '"Ronald Paxton-Sheets Mahler"'
Autor:
Ronald Paxton-Sheets Mahler
Publikováno v:
IEEE Access, Vol 9, Pp 68663-68674 (2021)
Conventional single-point-target tracking algorithms are recursive point estimators with point-measurement input data. In less well-known approaches, the tracking algorithm is a recursive set estimator with point-measurement or set-measurement input
Externí odkaz:
https://doaj.org/article/2d0b08c9e23240b081d1c68360c39621
Autor:
Ronald Paxton-Sheets Mahler
Publikováno v:
IEEE Access, Vol 9, Pp 2310-2316 (2021)
The Bernoulli filter is a general, Bayes-optimal solution for tracking a single disappearing and reappearing target, using a single sensor whose observations are corrupted by missed detections and a general, known clutter process. Like virtually all
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::986a81a112c7f11826c05c16f58c6597
https://ieeexplore.ieee.org/document/9303464/
https://ieeexplore.ieee.org/document/9303464/