Outline of a System for Integrated Adaptive Ice Tracking and Multi-Agent Path Planning
In polar region operations, drift sea ice positioning and tracking is useful for both scientific and safety reasons. Modeling ice movements has proven difficult, not least due to the lack of information of currents and winds of high enough resolution. Thus, observations of drift ice is essential to...
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Linköpings universitet, Reglerteknik
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ftlinkoepinguniv:oai:DiVA.org:liu-141910 2023-05-15T18:17:13+02:00 Outline of a System for Integrated Adaptive Ice Tracking and Multi-Agent Path Planning Olofsson, Jonatan Veibäck, Clas Hendeby, Gustaf Johansen, Tor Arne 2017 application/pdf http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-141910 https://doi.org/10.1109/RED-UAS.2017.8101636 eng eng Linköpings universitet, Reglerteknik Linköpings universitet, Tekniska fakulteten Proceedings of the 2017 Workshop on Research, Education and Development of Unmanned Aerial Systems (RED-UAS), p. 13-18 http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-141910 urn:isbn:978-1-5386-0939-2 urn:isbn:978-1-5386-0940-8 doi:10.1109/RED-UAS.2017.8101636 ISI:000427383700003 info:eu-repo/semantics/openAccess Ice Tracking UAS Sensor Fusion Path Planning Control Engineering Reglerteknik Conference paper info:eu-repo/semantics/conferenceObject text 2017 ftlinkoepinguniv https://doi.org/10.1109/RED-UAS.2017.8101636 2022-05-01T08:20:15Z In polar region operations, drift sea ice positioning and tracking is useful for both scientific and safety reasons. Modeling ice movements has proven difficult, not least due to the lack of information of currents and winds of high enough resolution. Thus, observations of drift ice is essential to an up-to-date ice-tracking estimate. Recent years have seen the rise of Unmanned Aerial Systems (UAS) as a platform for geoobservation, and so too for the tracking of sea ice. Being a mobile platform, the research on UAS path-planning is extensive and usually involves an objective-function to minimize. For the purpose of observation however, the objective-function typically changes as observations are made along the path. Further, the general problem involves multiple UAS and—in the case of sea ice tracking—vast geographical areas. In this paper we discuss the architectural outline of a system capable of fusing data from multiple sources—UAS’s and others—as well as incorporating that data for both path-planning, sea ice movement prediction and target initialization. The system contains tracking of sea ice objects, situation map logic and is expandable as discussed with path-planning capabilities for closing the loop of optimizing paths for information acquisition. Funding agencies: European Unions Horizon research and innovation programme under the Marie Sklodowska-Curie grant [642153]; Research Council of Norway through the Centres of Excellence funding scheme [223254 - NTNU-AMOS]; Vinnova Industry Excellence Center LINK-SIC, the S LINK-SIC Conference Object Sea ice LIU - Linköping University: Publications (DiVA) Norway 2017 Workshop on Research, Education and Development of Unmanned Aerial Systems (RED-UAS) 13 18 |
institution |
Open Polar |
collection |
LIU - Linköping University: Publications (DiVA) |
op_collection_id |
ftlinkoepinguniv |
language |
English |
topic |
Ice Tracking UAS Sensor Fusion Path Planning Control Engineering Reglerteknik |
spellingShingle |
Ice Tracking UAS Sensor Fusion Path Planning Control Engineering Reglerteknik Olofsson, Jonatan Veibäck, Clas Hendeby, Gustaf Johansen, Tor Arne Outline of a System for Integrated Adaptive Ice Tracking and Multi-Agent Path Planning |
topic_facet |
Ice Tracking UAS Sensor Fusion Path Planning Control Engineering Reglerteknik |
description |
In polar region operations, drift sea ice positioning and tracking is useful for both scientific and safety reasons. Modeling ice movements has proven difficult, not least due to the lack of information of currents and winds of high enough resolution. Thus, observations of drift ice is essential to an up-to-date ice-tracking estimate. Recent years have seen the rise of Unmanned Aerial Systems (UAS) as a platform for geoobservation, and so too for the tracking of sea ice. Being a mobile platform, the research on UAS path-planning is extensive and usually involves an objective-function to minimize. For the purpose of observation however, the objective-function typically changes as observations are made along the path. Further, the general problem involves multiple UAS and—in the case of sea ice tracking—vast geographical areas. In this paper we discuss the architectural outline of a system capable of fusing data from multiple sources—UAS’s and others—as well as incorporating that data for both path-planning, sea ice movement prediction and target initialization. The system contains tracking of sea ice objects, situation map logic and is expandable as discussed with path-planning capabilities for closing the loop of optimizing paths for information acquisition. Funding agencies: European Unions Horizon research and innovation programme under the Marie Sklodowska-Curie grant [642153]; Research Council of Norway through the Centres of Excellence funding scheme [223254 - NTNU-AMOS]; Vinnova Industry Excellence Center LINK-SIC, the S LINK-SIC |
format |
Conference Object |
author |
Olofsson, Jonatan Veibäck, Clas Hendeby, Gustaf Johansen, Tor Arne |
author_facet |
Olofsson, Jonatan Veibäck, Clas Hendeby, Gustaf Johansen, Tor Arne |
author_sort |
Olofsson, Jonatan |
title |
Outline of a System for Integrated Adaptive Ice Tracking and Multi-Agent Path Planning |
title_short |
Outline of a System for Integrated Adaptive Ice Tracking and Multi-Agent Path Planning |
title_full |
Outline of a System for Integrated Adaptive Ice Tracking and Multi-Agent Path Planning |
title_fullStr |
Outline of a System for Integrated Adaptive Ice Tracking and Multi-Agent Path Planning |
title_full_unstemmed |
Outline of a System for Integrated Adaptive Ice Tracking and Multi-Agent Path Planning |
title_sort |
outline of a system for integrated adaptive ice tracking and multi-agent path planning |
publisher |
Linköpings universitet, Reglerteknik |
publishDate |
2017 |
url |
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-141910 https://doi.org/10.1109/RED-UAS.2017.8101636 |
geographic |
Norway |
geographic_facet |
Norway |
genre |
Sea ice |
genre_facet |
Sea ice |
op_relation |
Proceedings of the 2017 Workshop on Research, Education and Development of Unmanned Aerial Systems (RED-UAS), p. 13-18 http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-141910 urn:isbn:978-1-5386-0939-2 urn:isbn:978-1-5386-0940-8 doi:10.1109/RED-UAS.2017.8101636 ISI:000427383700003 |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.1109/RED-UAS.2017.8101636 |
container_title |
2017 Workshop on Research, Education and Development of Unmanned Aerial Systems (RED-UAS) |
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