Publication
Real-time GPS indoor for USV tracking using lookup table
| authorProfile.email | biblioteca@isel.pt | |
| datacite.subject.fos | Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática | |
| dc.contributor.author | Vieira, Fábio | |
| dc.contributor.author | Teodoro, Pedro | |
| dc.contributor.author | Jorge, Pedro Mendes | |
| dc.date.accessioned | 2025-07-29T12:42:02Z | |
| dc.date.available | 2025-07-29T12:42:02Z | |
| dc.date.issued | 2023-05-25 | |
| dc.description.abstract | This study introduces an approach that utilizes Lookup Tables (LUT) to enable real-time tracking of an Unmanned Surface Vehicle (USV) in an indoor setting, using a fish-eye camera. The proposed method streamlines image processing and achieves O(1) complexity, significantly reducing application run time. The paper also outlines the process of calibrating the fish-eye camera to correct image distortion, computing the homography matrix for re-projection, and obtaining a virtual top view of the camera’s field of view. The paper provides a detailed explanation of the replacement of the undistortion and re-projection steps with the new LUT method. Experimental results demonstrate a significant enhancement in the process’s run time, making it feasible for real-time tracking, regardless of the image size. | eng |
| dc.identifier.citation | Vieira, F., Teodoro, P., & Jorge, P. M. (2023, April 26-27). Real-time GPS indoor for USV tracking using lookup table. 2023 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), Tomar, Portugal. https://doi.org/10.1109/ICARSC58346.2023.10129557 | |
| dc.identifier.doi | https://doi.org/10.1109/ICARSC58346.2023.10129557 | |
| dc.identifier.eissn | 2573-9387 | |
| dc.identifier.issn | 2573-9360 | |
| dc.identifier.uri | http://hdl.handle.net/10400.21/21986 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | |
| dc.publisher | IEEE | |
| dc.relation.hasversion | https://ieeexplore.ieee.org/document/10129557 | |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
| dc.subject | Lookup table | |
| dc.subject | GPS indoor | |
| dc.subject | SIFT | |
| dc.subject | Real-time tracking | |
| dc.subject | USV pose estimation | |
| dc.title | Real-time GPS indoor for USV tracking using lookup table | eng |
| dc.type | conference paper | |
| dspace.entity.type | Publication | |
| oaire.citation.conferenceDate | 2023-04-26 | |
| oaire.citation.conferencePlace | Tomar, Portugal | |
| oaire.citation.endPage | 262 | |
| oaire.citation.startPage | 257 | |
| oaire.citation.title | 2023 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC) | |
| oaire.version | http://purl.org/coar/version/c_be7fb7dd8ff6fe43 | |
| person.identifier.ciencia-id | F61C-F1EB-88B8 | |
| person.identifier.orcid | 0000-0003-1597-410X | |
| relation.isAuthorOfPublication | aaf73613-1657-426b-bfad-61538719c7a1 | |
| relation.isAuthorOfPublication.latestForDiscovery | aaf73613-1657-426b-bfad-61538719c7a1 |