Matches in SemOpenAlex for { <https://semopenalex.org/work/W19076995> ?p ?o ?g. }
Showing items 1 to 57 of
57
with 100 items per page.
- W19076995 endingPage "107" @default.
- W19076995 startingPage "100" @default.
- W19076995 abstract "In order to extract the peaks of PHD, a novel method STPHD has been proposed recently. This method can provide more accurate target state estimates than the general clustering algorithm such as k-means clustering. This paper presents a version of STPHD for multi-sensor scene and makes two contributions. First, we generalize the STPHD algorithm to a multi-sensor scenario with an existing framework of fusion. The framework includes an association step and a fusion step. This generation can get better performance in accuracy. But the association step is time-consuming. The second contribution is a novel model for computing the cost of two sets of particles with sub-weights in the association step. The numerical simulation results show that the proposed method can significantly reduce the time cost with a very slight loss in accuracy compared with the previous methods." @default.
- W19076995 created "2016-06-24" @default.
- W19076995 creator A5012585076 @default.
- W19076995 creator A5014010865 @default.
- W19076995 creator A5019974853 @default.
- W19076995 creator A5048497171 @default.
- W19076995 date "2012-01-01" @default.
- W19076995 modified "2023-10-17" @default.
- W19076995 title "A STPHD-Based Multi-sensor Fusion Method" @default.
- W19076995 cites W2014787937 @default.
- W19076995 cites W2057661804 @default.
- W19076995 cites W2086903647 @default.
- W19076995 cites W2127692198 @default.
- W19076995 cites W2155325587 @default.
- W19076995 doi "https://doi.org/10.1007/978-3-642-34487-9_13" @default.
- W19076995 hasPublicationYear "2012" @default.
- W19076995 type Work @default.
- W19076995 sameAs 19076995 @default.
- W19076995 citedByCount "2" @default.
- W19076995 countsByYear W190769952012 @default.
- W19076995 countsByYear W190769952013 @default.
- W19076995 crossrefType "book-chapter" @default.
- W19076995 hasAuthorship W19076995A5012585076 @default.
- W19076995 hasAuthorship W19076995A5014010865 @default.
- W19076995 hasAuthorship W19076995A5019974853 @default.
- W19076995 hasAuthorship W19076995A5048497171 @default.
- W19076995 hasConcept C138885662 @default.
- W19076995 hasConcept C154945302 @default.
- W19076995 hasConcept C158525013 @default.
- W19076995 hasConcept C33954974 @default.
- W19076995 hasConcept C41008148 @default.
- W19076995 hasConcept C41895202 @default.
- W19076995 hasConceptScore W19076995C138885662 @default.
- W19076995 hasConceptScore W19076995C154945302 @default.
- W19076995 hasConceptScore W19076995C158525013 @default.
- W19076995 hasConceptScore W19076995C33954974 @default.
- W19076995 hasConceptScore W19076995C41008148 @default.
- W19076995 hasConceptScore W19076995C41895202 @default.
- W19076995 hasLocation W190769951 @default.
- W19076995 hasOpenAccess W19076995 @default.
- W19076995 hasPrimaryLocation W190769951 @default.
- W19076995 hasRelatedWork W1494226030 @default.
- W19076995 hasRelatedWork W2031175860 @default.
- W19076995 hasRelatedWork W2145787958 @default.
- W19076995 hasRelatedWork W2152662039 @default.
- W19076995 hasRelatedWork W2353265673 @default.
- W19076995 hasRelatedWork W2359575951 @default.
- W19076995 hasRelatedWork W2385582644 @default.
- W19076995 hasRelatedWork W2726747157 @default.
- W19076995 hasRelatedWork W3107474891 @default.
- W19076995 hasRelatedWork W2132659060 @default.
- W19076995 isParatext "false" @default.
- W19076995 isRetracted "false" @default.
- W19076995 magId "19076995" @default.
- W19076995 workType "book-chapter" @default.