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...

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Main Authors: Garcia Fernandez, Angel, Morelande, M., Grajal, J.
Format: Journal Article
Published: IEEE 2011
Online Access:http://hdl.handle.net/20.500.11937/62915
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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.
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institution Curtin University Malaysia
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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