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Close-Range Tracking of Underwater Vehicles Using Light Beacons
This paper presents a new tracking system for autonomous underwater vehicles (AUVs) navigating in a close formation, based on computer vision and the use of active light markers. While acoustic localization can be very effective from medium to long distances, it is not so advantageous in short dista...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4850943/ https://www.ncbi.nlm.nih.gov/pubmed/27023547 http://dx.doi.org/10.3390/s16040429 |
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author | Bosch, Josep Gracias, Nuno Ridao, Pere Istenič, Klemen Ribas, David |
author_facet | Bosch, Josep Gracias, Nuno Ridao, Pere Istenič, Klemen Ribas, David |
author_sort | Bosch, Josep |
collection | PubMed |
description | This paper presents a new tracking system for autonomous underwater vehicles (AUVs) navigating in a close formation, based on computer vision and the use of active light markers. While acoustic localization can be very effective from medium to long distances, it is not so advantageous in short distances when the safety of the vehicles requires higher accuracy and update rates. The proposed system allows the estimation of the pose of a target vehicle at short ranges, with high accuracy and execution speed. To extend the field of view, an omnidirectional camera is used. This camera provides a full coverage of the lower hemisphere and enables the concurrent tracking of multiple vehicles in different positions. The system was evaluated in real sea conditions by tracking vehicles in mapping missions, where it demonstrated robust operation during extended periods of time. |
format | Online Article Text |
id | pubmed-4850943 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-48509432016-05-04 Close-Range Tracking of Underwater Vehicles Using Light Beacons Bosch, Josep Gracias, Nuno Ridao, Pere Istenič, Klemen Ribas, David Sensors (Basel) Article This paper presents a new tracking system for autonomous underwater vehicles (AUVs) navigating in a close formation, based on computer vision and the use of active light markers. While acoustic localization can be very effective from medium to long distances, it is not so advantageous in short distances when the safety of the vehicles requires higher accuracy and update rates. The proposed system allows the estimation of the pose of a target vehicle at short ranges, with high accuracy and execution speed. To extend the field of view, an omnidirectional camera is used. This camera provides a full coverage of the lower hemisphere and enables the concurrent tracking of multiple vehicles in different positions. The system was evaluated in real sea conditions by tracking vehicles in mapping missions, where it demonstrated robust operation during extended periods of time. MDPI 2016-03-25 /pmc/articles/PMC4850943/ /pubmed/27023547 http://dx.doi.org/10.3390/s16040429 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons by Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Bosch, Josep Gracias, Nuno Ridao, Pere Istenič, Klemen Ribas, David Close-Range Tracking of Underwater Vehicles Using Light Beacons |
title | Close-Range Tracking of Underwater Vehicles Using Light Beacons |
title_full | Close-Range Tracking of Underwater Vehicles Using Light Beacons |
title_fullStr | Close-Range Tracking of Underwater Vehicles Using Light Beacons |
title_full_unstemmed | Close-Range Tracking of Underwater Vehicles Using Light Beacons |
title_short | Close-Range Tracking of Underwater Vehicles Using Light Beacons |
title_sort | close-range tracking of underwater vehicles using light beacons |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4850943/ https://www.ncbi.nlm.nih.gov/pubmed/27023547 http://dx.doi.org/10.3390/s16040429 |
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