A Multi-Scan Labeled Random Finite Set Model for Multi-Object State Estimation
| Main Authors: | , |
|---|---|
| Format: | Journal Article |
| Language: | English |
| Published: |
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
2019
|
| Subjects: | |
| Online Access: | http://purl.org/au-research/grants/arc/DP170104854 http://hdl.handle.net/20.500.11937/90816 |
| _version_ | 1848765436451094528 |
|---|---|
| author | Vo, Ba-Ngu Vo, Ba-Tuong |
| author_facet | Vo, Ba-Ngu Vo, Ba-Tuong |
| author_sort | Vo, Ba-Ngu |
| building | Curtin Institutional Repository |
| collection | Online Access |
| first_indexed | 2025-11-14T11:35:13Z |
| format | Journal Article |
| id | curtin-20.500.11937-90816 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T11:35:13Z |
| publishDate | 2019 |
| publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-908162023-06-13T02:18:40Z A Multi-Scan Labeled Random Finite Set Model for Multi-Object State Estimation Vo, Ba-Ngu Vo, Ba-Tuong Science & Technology Technology Engineering, Electrical & Electronic Engineering State estimation filtering smoothing random finite sets multi-dimensional assignment Gibbs sampling BERNOULLI FILTER EFFICIENT TRACKING APPROXIMATION CONVERGENCE FUSION 2019 Journal Article http://hdl.handle.net/20.500.11937/90816 10.1109/TSP.2019.2928953 English http://purl.org/au-research/grants/arc/DP170104854 http://purl.org/au-research/grants/arc/DP160104662 http://creativecommons.org/licenses/by/4.0/ IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC fulltext |
| spellingShingle | Science & Technology Technology Engineering, Electrical & Electronic Engineering State estimation filtering smoothing random finite sets multi-dimensional assignment Gibbs sampling BERNOULLI FILTER EFFICIENT TRACKING APPROXIMATION CONVERGENCE FUSION Vo, Ba-Ngu Vo, Ba-Tuong A Multi-Scan Labeled Random Finite Set Model for Multi-Object State Estimation |
| title | A Multi-Scan Labeled Random Finite Set Model for Multi-Object State Estimation |
| title_full | A Multi-Scan Labeled Random Finite Set Model for Multi-Object State Estimation |
| title_fullStr | A Multi-Scan Labeled Random Finite Set Model for Multi-Object State Estimation |
| title_full_unstemmed | A Multi-Scan Labeled Random Finite Set Model for Multi-Object State Estimation |
| title_short | A Multi-Scan Labeled Random Finite Set Model for Multi-Object State Estimation |
| title_sort | multi-scan labeled random finite set model for multi-object state estimation |
| topic | Science & Technology Technology Engineering, Electrical & Electronic Engineering State estimation filtering smoothing random finite sets multi-dimensional assignment Gibbs sampling BERNOULLI FILTER EFFICIENT TRACKING APPROXIMATION CONVERGENCE FUSION |
| url | http://purl.org/au-research/grants/arc/DP170104854 http://purl.org/au-research/grants/arc/DP170104854 http://hdl.handle.net/20.500.11937/90816 |