Publication
Real-time GPS indoor for USV tracking using lookup table
| dc.contributor.author | Vieira, Fábio | |
| dc.contributor.author | Teodoro, Pedro | |
| dc.contributor.author | Jorge, Pedro Mendes | |
| dc.date.accessioned | 2025-10-08T15:00:23Z | |
| dc.date.available | 2025-10-08T15:00:23Z | |
| dc.date.issued | 2023-04 | |
| 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. | |
| dc.identifier.doi | 10.1109/ICARSC58346.2023.10129557 | |
| dc.identifier.uri | http://hdl.handle.net/10400.26/58976 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | |
| dc.publisher | IEEE | |
| 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 not in proceedings | |
| dspace.entity.type | Publication | |
| oaire.citation.conferenceDate | 2023-04-26 | |
| oaire.citation.conferencePlace | Tomar, Portugal | |
| oaire.citation.endPage | 257 | |
| oaire.citation.startPage | 262 | |
| oaire.citation.title | 2023 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC) | |
| oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 |
Files
Original bundle
1 - 1 of 1
No Thumbnail Available
- Name:
- Real-time GPS indoor for USV tracking using Lookup Table.pdf
- Size:
- 4.6 MB
- Format:
- Adobe Portable Document Format
License bundle
1 - 1 of 1
No Thumbnail Available
- Name:
- license.txt
- Size:
- 1.85 KB
- Format:
- Item-specific license agreed upon to submission
- Description: