GPS alignment from multiple sources to extract aircraft bearing in aerial surveys
Methodical aerial population surveys monitoring critically endangered species in Canadian North Atlantic waters are instrumental in influencing government policies both in eco-nomic and conservational efforts. The primary factor hindering the success of these missions is poor visibility caused by gl...
Published in: | 2023 IEEE/ION Position, Location and Navigation Symposium (PLANS) |
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Online Access: | https://doi.org/10.1109/PLANS53410.2023.10139941 https://nrc-publications.canada.ca/eng/view/object/?id=4f8acc87-308e-4334-8fe2-7c1ea6560353 https://nrc-publications.canada.ca/fra/voir/objet/?id=4f8acc87-308e-4334-8fe2-7c1ea6560353 |
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ftnrccanada:oai:cisti-icist.nrc-cnrc.ca:cistinparc:4f8acc87-308e-4334-8fe2-7c1ea6560353 2023-07-23T04:20:40+02:00 GPS alignment from multiple sources to extract aircraft bearing in aerial surveys Power, Joshua Jacoby, Derek Drouin, Marc-Antoine Durand, Guillaume Coady, Yvonne Meng, Julian 2023-06-08 text https://doi.org/10.1109/PLANS53410.2023.10139941 https://nrc-publications.canada.ca/eng/view/object/?id=4f8acc87-308e-4334-8fe2-7c1ea6560353 https://nrc-publications.canada.ca/fra/voir/objet/?id=4f8acc87-308e-4334-8fe2-7c1ea6560353 eng eng IEEE 2023 IEEE/ION Position, Location and Navigation Symposium (PLANS), 2023 IEEE/ION Position, Location and Navigation Symposium (PLANS), April 24-27, 2023, Monterey, California, United States, ISBN: 978-1-6654-1772-3, Publication date: 2023-06-08, Pages: 781–792 doi:10.1109/PLANS53410.2023.10139941 GPS alignment multi-source GPS fusion aerial survey marine megafauna machine learning glare data-driven mission planning context-aware image quality metric article 2023 ftnrccanada https://doi.org/10.1109/PLANS53410.2023.10139941 2023-07-01T23:01:53Z Methodical aerial population surveys monitoring critically endangered species in Canadian North Atlantic waters are instrumental in influencing government policies both in eco-nomic and conservational efforts. The primary factor hindering the success of these missions is poor visibility caused by glare. This paper builds off our foundational paper [1] and pushes the envelope toward a data-driven glare modelling system. Said data-driven system makes use of meteorological and astronomical data to assist aircraft in navigating in order to mitigate acquisition errors and optimize the quality of acquired data. It is found that reliably extracting aircraft orientation is critical to our approach, to that end, we present a GPS alignment methodology which makes use of the fusion of two GPS signals. Using the complementary strengths and weaknesses of these two signals a synthetic interpolation of fused data is used to generate more reliable flight tracks, substantially improving glare modelling. This methodology could be applied to any other applications with similar signal restrictions. Peer reviewed: Yes NRC publication: Yes Article in Journal/Newspaper North Atlantic National Research Council Canada: NRC Publications Archive 2023 IEEE/ION Position, Location and Navigation Symposium (PLANS) 781 792 |
institution |
Open Polar |
collection |
National Research Council Canada: NRC Publications Archive |
op_collection_id |
ftnrccanada |
language |
English |
topic |
GPS alignment multi-source GPS fusion aerial survey marine megafauna machine learning glare data-driven mission planning context-aware image quality metric |
spellingShingle |
GPS alignment multi-source GPS fusion aerial survey marine megafauna machine learning glare data-driven mission planning context-aware image quality metric Power, Joshua Jacoby, Derek Drouin, Marc-Antoine Durand, Guillaume Coady, Yvonne Meng, Julian GPS alignment from multiple sources to extract aircraft bearing in aerial surveys |
topic_facet |
GPS alignment multi-source GPS fusion aerial survey marine megafauna machine learning glare data-driven mission planning context-aware image quality metric |
description |
Methodical aerial population surveys monitoring critically endangered species in Canadian North Atlantic waters are instrumental in influencing government policies both in eco-nomic and conservational efforts. The primary factor hindering the success of these missions is poor visibility caused by glare. This paper builds off our foundational paper [1] and pushes the envelope toward a data-driven glare modelling system. Said data-driven system makes use of meteorological and astronomical data to assist aircraft in navigating in order to mitigate acquisition errors and optimize the quality of acquired data. It is found that reliably extracting aircraft orientation is critical to our approach, to that end, we present a GPS alignment methodology which makes use of the fusion of two GPS signals. Using the complementary strengths and weaknesses of these two signals a synthetic interpolation of fused data is used to generate more reliable flight tracks, substantially improving glare modelling. This methodology could be applied to any other applications with similar signal restrictions. Peer reviewed: Yes NRC publication: Yes |
format |
Article in Journal/Newspaper |
author |
Power, Joshua Jacoby, Derek Drouin, Marc-Antoine Durand, Guillaume Coady, Yvonne Meng, Julian |
author_facet |
Power, Joshua Jacoby, Derek Drouin, Marc-Antoine Durand, Guillaume Coady, Yvonne Meng, Julian |
author_sort |
Power, Joshua |
title |
GPS alignment from multiple sources to extract aircraft bearing in aerial surveys |
title_short |
GPS alignment from multiple sources to extract aircraft bearing in aerial surveys |
title_full |
GPS alignment from multiple sources to extract aircraft bearing in aerial surveys |
title_fullStr |
GPS alignment from multiple sources to extract aircraft bearing in aerial surveys |
title_full_unstemmed |
GPS alignment from multiple sources to extract aircraft bearing in aerial surveys |
title_sort |
gps alignment from multiple sources to extract aircraft bearing in aerial surveys |
publisher |
IEEE |
publishDate |
2023 |
url |
https://doi.org/10.1109/PLANS53410.2023.10139941 https://nrc-publications.canada.ca/eng/view/object/?id=4f8acc87-308e-4334-8fe2-7c1ea6560353 https://nrc-publications.canada.ca/fra/voir/objet/?id=4f8acc87-308e-4334-8fe2-7c1ea6560353 |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_relation |
2023 IEEE/ION Position, Location and Navigation Symposium (PLANS), 2023 IEEE/ION Position, Location and Navigation Symposium (PLANS), April 24-27, 2023, Monterey, California, United States, ISBN: 978-1-6654-1772-3, Publication date: 2023-06-08, Pages: 781–792 doi:10.1109/PLANS53410.2023.10139941 |
op_doi |
https://doi.org/10.1109/PLANS53410.2023.10139941 |
container_title |
2023 IEEE/ION Position, Location and Navigation Symposium (PLANS) |
container_start_page |
781 |
op_container_end_page |
792 |
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1772185270670589952 |