Multitarget simultaneous localization and mapping of a sensor network
This paper addresses the problem of simultaneously localizing multiple targets and estimating the positions of the sensors in a sensor network using particle filters. We develop a new technique called multitarget simultaneous localization and mapping (MSLAM) that has better performance than the well...
| Main Authors: | , , |
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| Format: | Journal Article |
| Published: |
IEEE
2011
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| Online Access: | http://hdl.handle.net/20.500.11937/62915 |
| _version_ | 1848760944259235840 |
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| author | Garcia Fernandez, Angel Morelande, M. Grajal, J. |
| author_facet | Garcia Fernandez, Angel Morelande, M. Grajal, J. |
| author_sort | Garcia Fernandez, Angel |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This paper addresses the problem of simultaneously localizing multiple targets and estimating the positions of the sensors in a sensor network using particle filters. We develop a new technique called multitarget simultaneous localization and mapping (MSLAM) that has better performance than the well-known FastSLAM when there are several targets in the surveillance area. The proposed algorithm is based on the parallel partition particle filter, especially designed for multiple target tracking, and the truncated unscented Kalman filter for updating the sensors' positions. © 2011 IEEE. |
| first_indexed | 2025-11-14T10:23:49Z |
| format | Journal Article |
| id | curtin-20.500.11937-62915 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:23:49Z |
| publishDate | 2011 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-629152018-02-06T06:23:10Z Multitarget simultaneous localization and mapping of a sensor network Garcia Fernandez, Angel Morelande, M. Grajal, J. This paper addresses the problem of simultaneously localizing multiple targets and estimating the positions of the sensors in a sensor network using particle filters. We develop a new technique called multitarget simultaneous localization and mapping (MSLAM) that has better performance than the well-known FastSLAM when there are several targets in the surveillance area. The proposed algorithm is based on the parallel partition particle filter, especially designed for multiple target tracking, and the truncated unscented Kalman filter for updating the sensors' positions. © 2011 IEEE. 2011 Journal Article http://hdl.handle.net/20.500.11937/62915 10.1109/TSP.2011.2160862 IEEE restricted |
| spellingShingle | Garcia Fernandez, Angel Morelande, M. Grajal, J. Multitarget simultaneous localization and mapping of a sensor network |
| title | Multitarget simultaneous localization and mapping of a sensor network |
| title_full | Multitarget simultaneous localization and mapping of a sensor network |
| title_fullStr | Multitarget simultaneous localization and mapping of a sensor network |
| title_full_unstemmed | Multitarget simultaneous localization and mapping of a sensor network |
| title_short | Multitarget simultaneous localization and mapping of a sensor network |
| title_sort | multitarget simultaneous localization and mapping of a sensor network |
| url | http://hdl.handle.net/20.500.11937/62915 |