Publication
Underwater Localization System Combining iUSBL with Dynamic SBL in ¡VAMOS! Trials
dc.contributor.author | Almeida, José | |
dc.contributor.author | Matias, Bruno | |
dc.contributor.author | Ferreira, António João | |
dc.contributor.author | Almeida, Carlos | |
dc.contributor.author | Martins, Alfredo | |
dc.contributor.author | Silva, Eduardo | |
dc.date.accessioned | 2021-12-07T10:58:06Z | |
dc.date.available | 2021-12-07T10:58:06Z | |
dc.date.issued | 2020 | |
dc.description.abstract | Emerging opportunities in the exploration of inland water bodies, such as underwater mining of flooded open pit mines, require accurate real-time positioning of multiple underwater assets. In the mining operation scenarios, operational requirements deny the application of standard acoustic positioning techniques, posing additional challenges to the localization problem. This paper presents a novel underwater localization solution, implemented for the ¡VAMOS! project, based on the combination of raw measurements from a short baseline (SBL) array and an inverted ultrashort baseline (iUSBL). An extended Kalman filter (EKF), fusing IMU raw measurements, pressure observations, SBL ranges, and USBL directional angles, estimates the localization of an underwater mining vehicle in 6DOF. Sensor bias and the speed of sound in the water are estimated indirectly by the filter. Moreover, in order to discard acoustic outliers, due to multipath reflections in such a confined and cluttered space, a data association layer and a dynamic SBL master selection heuristic were implemented. To demonstrate the advantage of this new technique, results obtained in the field, during the ¡VAMOS! underwater mining field trials, are presented and discussed. | pt_PT |
dc.description.sponsorship | This work was funded by the ¡VAMOS! project funded by the European Commission under the H2020 EU Framework Programme for Research and by National Funds through the Portuguese funding agency, FCT (Fundação para a Ciência e a Tecnologia), within project UIDB/50014/2020 and TEC4SEA - Modular Platform for Research, Test and Validation of Technologies supporting a Sustainable Blue Economy from National Roadmap for Research Infrastructures of Strategic Interest, NORTE-01-0145-FEDER-022097- PINFRA/22097/2016. | pt_PT |
dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
dc.identifier.doi | 10.3390/s20174710 | pt_PT |
dc.identifier.uri | http://hdl.handle.net/10400.22/19005 | |
dc.language.iso | eng | pt_PT |
dc.peerreviewed | yes | pt_PT |
dc.publisher | MDPI | pt_PT |
dc.relation | NORTE-01-0145-FEDER-022097- PINFRA/22097/2016 | pt_PT |
dc.relation | INESC TEC- Institute for Systems and Computer Engineering, Technology and Science | |
dc.relation.publisherversion | https://www.mdpi.com/1424-8220/20/17/4710 | pt_PT |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | pt_PT |
dc.subject | AUV navigation | pt_PT |
dc.subject | Underwater localization | pt_PT |
dc.subject | Estimation | pt_PT |
dc.subject | SBL | pt_PT |
dc.subject | iUSBL | pt_PT |
dc.subject | Data fusion | pt_PT |
dc.subject | EKF | pt_PT |
dc.subject | Underwater mining | pt_PT |
dc.title | Underwater Localization System Combining iUSBL with Dynamic SBL in ¡VAMOS! Trials | pt_PT |
dc.type | journal article | |
dspace.entity.type | Publication | |
oaire.awardTitle | INESC TEC- Institute for Systems and Computer Engineering, Technology and Science | |
oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F50014%2F2020/PT | |
oaire.citation.issue | 17 | pt_PT |
oaire.citation.startPage | 4710 | pt_PT |
oaire.citation.title | Sensors | pt_PT |
oaire.citation.volume | 20 | pt_PT |
oaire.fundingStream | 6817 - DCRRNI ID | |
person.familyName | Soares Almeida | |
person.familyName | Lopes Matias | |
person.familyName | Ferreira | |
person.familyName | Almeida | |
person.familyName | Martins | |
person.familyName | Silva | |
person.givenName | José Miguel | |
person.givenName | Bruno | |
person.givenName | António | |
person.givenName | Carlos | |
person.givenName | Alfredo | |
person.givenName | Eduardo | |
person.identifier | R-001-0CZ | |
person.identifier.ciencia-id | D018-2A4D-8588 | |
person.identifier.ciencia-id | BC1F-C5AA-06A8 | |
person.identifier.ciencia-id | 611B-407B-8856 | |
person.identifier.ciencia-id | 5411-8989-1724 | |
person.identifier.ciencia-id | 341E-9000-B513 | |
person.identifier.ciencia-id | C517-23DA-B09F | |
person.identifier.orcid | 0000-0001-5844-5393 | |
person.identifier.orcid | 0000-0002-5036-7762 | |
person.identifier.orcid | 0000-0002-6091-1549 | |
person.identifier.orcid | 0000-0003-2773-703X | |
person.identifier.orcid | 0000-0003-3195-5638 | |
person.identifier.orcid | 0000-0001-7166-3459 | |
person.identifier.rid | M-7929-2014 | |
person.identifier.scopus-author-id | 23007623500 | |
person.identifier.scopus-author-id | 56234856000 | |
person.identifier.scopus-author-id | 6507130721 | |
project.funder.identifier | http://doi.org/10.13039/501100001871 | |
project.funder.name | Fundação para a Ciência e a Tecnologia | |
rcaap.rights | openAccess | pt_PT |
rcaap.type | article | pt_PT |
relation.isAuthorOfPublication | 855b71c5-ae99-452d-8b53-d0b4333fe94e | |
relation.isAuthorOfPublication | 7879e3a9-3ddd-46b7-9746-95ae130fa247 | |
relation.isAuthorOfPublication | d424d309-cb79-4071-b28b-29d913ae5d02 | |
relation.isAuthorOfPublication | 3e6fa6c6-2344-4b93-a96e-d2d48d40fb54 | |
relation.isAuthorOfPublication | df7c1e03-5c55-4a79-916a-1ec6d4a63b41 | |
relation.isAuthorOfPublication | d0912771-16c3-4f41-a936-79a714e984fb | |
relation.isAuthorOfPublication.latestForDiscovery | 3e6fa6c6-2344-4b93-a96e-d2d48d40fb54 | |
relation.isProjectOfPublication | 7a2d9a82-ee07-4c57-bbbf-2d88b942688d | |
relation.isProjectOfPublication.latestForDiscovery | 7a2d9a82-ee07-4c57-bbbf-2d88b942688d |
Files
Original bundle
1 - 1 of 1
No Thumbnail Available
- Name:
- ART_LSA_sensors_2020.pdf
- Size:
- 21.73 MB
- Format:
- Adobe Portable Document Format