Multi-vehicle decentralized fusion and tracking
In this paper, we introduce a decentralized fusion and tracking based on a distributed multi-source multitarget filtering and robust communication with the following features: (i) data reduction; (ii) a disruption tolerant dissemination procedure that takes advantage of storage and mobility; and (ii...
| Main Authors: | , , , |
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| Format: | Conference Paper |
| Published: |
2012
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| Online Access: | http://hdl.handle.net/20.500.11937/55133 |
| _version_ | 1848759543826219008 |
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| author | El-Fallah, A. Zatezalo, A. Mahler, Ronald Mehra, R. |
| author_facet | El-Fallah, A. Zatezalo, A. Mahler, Ronald Mehra, R. |
| author_sort | El-Fallah, A. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | In this paper, we introduce a decentralized fusion and tracking based on a distributed multi-source multitarget filtering and robust communication with the following features: (i) data reduction; (ii) a disruption tolerant dissemination procedure that takes advantage of storage and mobility; and (iii) efficient data set reconciliation algorithms. We developed and implemented complex high-fidelity marine application demonstration of this approach that encompasses all relevant environmental parameters. In the simulated example, multi-source information is fused by exploiting sensors from disparate Unmanned Underwater Vehicles (UUV) and Unmanned Surface Vehicle (USV) multi-sensor platforms. Communications among the platforms are continuously establishing and breaking depending on the time-changing geometry. We compare and evaluate the developed algorithms by assessing their performance against different scenarios. © 2012 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE). |
| first_indexed | 2025-11-14T10:01:34Z |
| format | Conference Paper |
| id | curtin-20.500.11937-55133 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:01:34Z |
| publishDate | 2012 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-551332017-09-13T16:11:12Z Multi-vehicle decentralized fusion and tracking El-Fallah, A. Zatezalo, A. Mahler, Ronald Mehra, R. In this paper, we introduce a decentralized fusion and tracking based on a distributed multi-source multitarget filtering and robust communication with the following features: (i) data reduction; (ii) a disruption tolerant dissemination procedure that takes advantage of storage and mobility; and (iii) efficient data set reconciliation algorithms. We developed and implemented complex high-fidelity marine application demonstration of this approach that encompasses all relevant environmental parameters. In the simulated example, multi-source information is fused by exploiting sensors from disparate Unmanned Underwater Vehicles (UUV) and Unmanned Surface Vehicle (USV) multi-sensor platforms. Communications among the platforms are continuously establishing and breaking depending on the time-changing geometry. We compare and evaluate the developed algorithms by assessing their performance against different scenarios. © 2012 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE). 2012 Conference Paper http://hdl.handle.net/20.500.11937/55133 10.1117/12.919416 restricted |
| spellingShingle | El-Fallah, A. Zatezalo, A. Mahler, Ronald Mehra, R. Multi-vehicle decentralized fusion and tracking |
| title | Multi-vehicle decentralized fusion and tracking |
| title_full | Multi-vehicle decentralized fusion and tracking |
| title_fullStr | Multi-vehicle decentralized fusion and tracking |
| title_full_unstemmed | Multi-vehicle decentralized fusion and tracking |
| title_short | Multi-vehicle decentralized fusion and tracking |
| title_sort | multi-vehicle decentralized fusion and tracking |
| url | http://hdl.handle.net/20.500.11937/55133 |