Multitarget Simultaneous Localization and Mapping of a Sensor Network

Garcia-Fernandez, Angel F ORCID: 0000-0002-6471-8455, Morelande, Mark R and Grajal, Jesus (2011) Multitarget Simultaneous Localization and Mapping of a Sensor Network. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 59 (10). pp. 4544-4558.

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Official URL: http://dx.doi.org/10.1109/tsp.2011.2160862

Abstract

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.

Item Type:	Article
Uncontrolled Keywords:	Multitarget SLAM, particle filters, sensor networks, tracking, truncated unscented Kalman filter
Divisions:	Faculty of Science and Engineering > School of Electrical Engineering, Electronics and Computer Science
Depositing User:	Symplectic Admin
Date Deposited:	19 Apr 2021 09:22
Last Modified:	15 Mar 2024 13:55
DOI:	10.1109/TSP.2011.2160862
Related URLs:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3119489