Sea Ice Tracking with a Spatially Indexed Labeled Multi-Bernoulli Filter
In polar region operations, drift ice positioning and tracking is useful for both scientific and safety reasons. At its core is a Multi-Target Tracking (MTT) problem in which currents and winds make motion modeling difficult. One recent algorithm in the MTT field, employed in this paper, is the Labe...
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ftntnutrondheimi:oai:ntnuopen.ntnu.no:11250/2484046 2023-05-15T17:05:15+02:00 Sea Ice Tracking with a Spatially Indexed Labeled Multi-Bernoulli Filter Olofsson, Jonatan Veibäck, Clas Hendeby, Gustaf 2017 http://hdl.handle.net/11250/2484046 https://doi.org/10.23919/ICIF.2017.8009672 eng eng Institute of Electrical and Electronics Engineers (IEEE) 2017 20th International Conference on Information Fusion EC/H2020/642153 Norges forskningsråd: 223254 urn:isbn:978-0-9964-5270-0 http://hdl.handle.net/11250/2484046 https://doi.org/10.23919/ICIF.2017.8009672 cristin:1493683 Chapter 2017 ftntnutrondheimi https://doi.org/10.23919/ICIF.2017.8009672 2019-09-17T06:52:46Z In polar region operations, drift ice positioning and tracking is useful for both scientific and safety reasons. At its core is a Multi-Target Tracking (MTT) problem in which currents and winds make motion modeling difficult. One recent algorithm in the MTT field, employed in this paper, is the Labeled Multi-Bernoulli (LMB) filter. In particular, a proposed reformulation of the LMB equations exposes a structure which is exploited to propose a compact algorithm for the generation of the filter's posterior distribution. Further, spatial indexing is applied to the clustering process of the filter, allowing efficient separation of the filter into smaller, independent parts with lesser total complexity than that of an unclustered filter. Many types of sensors can be employed to generate detections of sea ice, and in this paper a recorded dataset from a Terrestrial Radar Interferometer (TRI) is used to demonstrate the application of the Spatially Indexed Labeled Multi-Bernoulli filter to estimate the currents of an observed area in Kongsfjorden, Svalbard. acceptedVersion © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Book Part Kongsfjord* Kongsfjorden Sea ice Svalbard NTNU Open Archive (Norwegian University of Science and Technology) Svalbard 2017 20th International Conference on Information Fusion (Fusion) 1 8 |
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NTNU Open Archive (Norwegian University of Science and Technology) |
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English |
description |
In polar region operations, drift ice positioning and tracking is useful for both scientific and safety reasons. At its core is a Multi-Target Tracking (MTT) problem in which currents and winds make motion modeling difficult. One recent algorithm in the MTT field, employed in this paper, is the Labeled Multi-Bernoulli (LMB) filter. In particular, a proposed reformulation of the LMB equations exposes a structure which is exploited to propose a compact algorithm for the generation of the filter's posterior distribution. Further, spatial indexing is applied to the clustering process of the filter, allowing efficient separation of the filter into smaller, independent parts with lesser total complexity than that of an unclustered filter. Many types of sensors can be employed to generate detections of sea ice, and in this paper a recorded dataset from a Terrestrial Radar Interferometer (TRI) is used to demonstrate the application of the Spatially Indexed Labeled Multi-Bernoulli filter to estimate the currents of an observed area in Kongsfjorden, Svalbard. acceptedVersion © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
format |
Book Part |
author |
Olofsson, Jonatan Veibäck, Clas Hendeby, Gustaf |
spellingShingle |
Olofsson, Jonatan Veibäck, Clas Hendeby, Gustaf Sea Ice Tracking with a Spatially Indexed Labeled Multi-Bernoulli Filter |
author_facet |
Olofsson, Jonatan Veibäck, Clas Hendeby, Gustaf |
author_sort |
Olofsson, Jonatan |
title |
Sea Ice Tracking with a Spatially Indexed Labeled Multi-Bernoulli Filter |
title_short |
Sea Ice Tracking with a Spatially Indexed Labeled Multi-Bernoulli Filter |
title_full |
Sea Ice Tracking with a Spatially Indexed Labeled Multi-Bernoulli Filter |
title_fullStr |
Sea Ice Tracking with a Spatially Indexed Labeled Multi-Bernoulli Filter |
title_full_unstemmed |
Sea Ice Tracking with a Spatially Indexed Labeled Multi-Bernoulli Filter |
title_sort |
sea ice tracking with a spatially indexed labeled multi-bernoulli filter |
publisher |
Institute of Electrical and Electronics Engineers (IEEE) |
publishDate |
2017 |
url |
http://hdl.handle.net/11250/2484046 https://doi.org/10.23919/ICIF.2017.8009672 |
geographic |
Svalbard |
geographic_facet |
Svalbard |
genre |
Kongsfjord* Kongsfjorden Sea ice Svalbard |
genre_facet |
Kongsfjord* Kongsfjorden Sea ice Svalbard |
op_relation |
2017 20th International Conference on Information Fusion EC/H2020/642153 Norges forskningsråd: 223254 urn:isbn:978-0-9964-5270-0 http://hdl.handle.net/11250/2484046 https://doi.org/10.23919/ICIF.2017.8009672 cristin:1493683 |
op_doi |
https://doi.org/10.23919/ICIF.2017.8009672 |
container_title |
2017 20th International Conference on Information Fusion (Fusion) |
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1 |
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1766059698481528832 |