Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313306941> ?p ?o ?g. }
- W4313306941 abstract "The recent multi-sensor Generalized Labeled Multi-Bernoulli (GLMB) is an efficient analytic implementation to the multi-sensor multi-object state estimation problem. The multi-sensor multi-object posterior is recursively propagated using the multi-sensor multi-object filtering density, by updating it with multi-sensor measurements at each time step. The measurement update step requires solving a series of NP-hard multidimensional assignment problems. In this paper, we introduce a faster implementation of this algorithm by an intuitive approximation, and combine that with the Gibbs sampler based truncation approach to produce an efficient multi-sensor multi-object estimation solution suitable for practical applications." @default.
- W4313306941 created "2023-01-06" @default.
- W4313306941 creator A5012249167 @default.
- W4313306941 creator A5044691350 @default.
- W4313306941 creator A5086398147 @default.
- W4313306941 date "2022-11-21" @default.
- W4313306941 modified "2023-09-25" @default.
- W4313306941 title "A Faster implementation of Multi-sensor Generalized Labeled Multi-Bernoulli Filter" @default.
- W4313306941 cites W1745301770 @default.
- W4313306941 cites W1845278593 @default.
- W4313306941 cites W2014787937 @default.
- W4313306941 cites W2045381534 @default.
- W4313306941 cites W2049244691 @default.
- W4313306941 cites W2105905583 @default.
- W4313306941 cites W2110354007 @default.
- W4313306941 cites W2123378338 @default.
- W4313306941 cites W2154353836 @default.
- W4313306941 cites W2523112045 @default.
- W4313306941 cites W2623681295 @default.
- W4313306941 cites W2729012890 @default.
- W4313306941 cites W2748082993 @default.
- W4313306941 cites W2762588164 @default.
- W4313306941 cites W2764024189 @default.
- W4313306941 cites W2789551723 @default.
- W4313306941 cites W2840375954 @default.
- W4313306941 cites W2901168609 @default.
- W4313306941 cites W2913213964 @default.
- W4313306941 cites W2932520762 @default.
- W4313306941 cites W2946214331 @default.
- W4313306941 cites W2948681563 @default.
- W4313306941 cites W2963139408 @default.
- W4313306941 cites W2963272312 @default.
- W4313306941 cites W2964318445 @default.
- W4313306941 cites W2970613990 @default.
- W4313306941 cites W2971921568 @default.
- W4313306941 cites W2979653692 @default.
- W4313306941 cites W2989522305 @default.
- W4313306941 cites W3000255741 @default.
- W4313306941 cites W3004498984 @default.
- W4313306941 cites W3012271043 @default.
- W4313306941 cites W3015395304 @default.
- W4313306941 cites W3019904227 @default.
- W4313306941 cites W3102898117 @default.
- W4313306941 cites W3200340927 @default.
- W4313306941 cites W3208486010 @default.
- W4313306941 cites W4205597599 @default.
- W4313306941 cites W4220825193 @default.
- W4313306941 cites W4310748646 @default.
- W4313306941 cites W95648628 @default.
- W4313306941 doi "https://doi.org/10.1109/iccais56082.2022.9990410" @default.
- W4313306941 hasPublicationYear "2022" @default.
- W4313306941 type Work @default.
- W4313306941 citedByCount "0" @default.
- W4313306941 crossrefType "proceedings-article" @default.
- W4313306941 hasAuthorship W4313306941A5012249167 @default.
- W4313306941 hasAuthorship W4313306941A5044691350 @default.
- W4313306941 hasAuthorship W4313306941A5086398147 @default.
- W4313306941 hasConcept C106131492 @default.
- W4313306941 hasConcept C106195933 @default.
- W4313306941 hasConcept C11413529 @default.
- W4313306941 hasConcept C119857082 @default.
- W4313306941 hasConcept C127413603 @default.
- W4313306941 hasConcept C143724316 @default.
- W4313306941 hasConcept C146978453 @default.
- W4313306941 hasConcept C151730666 @default.
- W4313306941 hasConcept C152361515 @default.
- W4313306941 hasConcept C154945302 @default.
- W4313306941 hasConcept C24590314 @default.
- W4313306941 hasConcept C2781238097 @default.
- W4313306941 hasConcept C31258907 @default.
- W4313306941 hasConcept C31972630 @default.
- W4313306941 hasConcept C41008148 @default.
- W4313306941 hasConcept C86803240 @default.
- W4313306941 hasConceptScore W4313306941C106131492 @default.
- W4313306941 hasConceptScore W4313306941C106195933 @default.
- W4313306941 hasConceptScore W4313306941C11413529 @default.
- W4313306941 hasConceptScore W4313306941C119857082 @default.
- W4313306941 hasConceptScore W4313306941C127413603 @default.
- W4313306941 hasConceptScore W4313306941C143724316 @default.
- W4313306941 hasConceptScore W4313306941C146978453 @default.
- W4313306941 hasConceptScore W4313306941C151730666 @default.
- W4313306941 hasConceptScore W4313306941C152361515 @default.
- W4313306941 hasConceptScore W4313306941C154945302 @default.
- W4313306941 hasConceptScore W4313306941C24590314 @default.
- W4313306941 hasConceptScore W4313306941C2781238097 @default.
- W4313306941 hasConceptScore W4313306941C31258907 @default.
- W4313306941 hasConceptScore W4313306941C31972630 @default.
- W4313306941 hasConceptScore W4313306941C41008148 @default.
- W4313306941 hasConceptScore W4313306941C86803240 @default.
- W4313306941 hasFunder F4320334704 @default.
- W4313306941 hasLocation W43133069411 @default.
- W4313306941 hasOpenAccess W4313306941 @default.
- W4313306941 hasPrimaryLocation W43133069411 @default.
- W4313306941 hasRelatedWork W1521048707 @default.
- W4313306941 hasRelatedWork W2296596413 @default.
- W4313306941 hasRelatedWork W2378314110 @default.
- W4313306941 hasRelatedWork W2467182785 @default.
- W4313306941 hasRelatedWork W2510217115 @default.
- W4313306941 hasRelatedWork W2773692223 @default.
- W4313306941 hasRelatedWork W2899084033 @default.