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DC Field | Value | Language |
---|---|---|
dc.citation.endPage | 404 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 384 | - |
dc.citation.title | INTERNATIONAL JOURNAL OF COMPUTER VISION | - |
dc.citation.volume | 130 | - |
dc.contributor.author | Rameau, Francois | - |
dc.contributor.author | Bailo, Oleksandr | - |
dc.contributor.author | Park, Jinsun | - |
dc.contributor.author | Joo, Kyungdon | - |
dc.contributor.author | Kweon, In So | - |
dc.date.accessioned | 2023-12-21T14:42:51Z | - |
dc.date.available | 2023-12-21T14:42:51Z | - |
dc.date.created | 2022-01-07 | - |
dc.date.issued | 2022-01 | - |
dc.description.abstract | In this paper, we propose a multi-vehicle localization approach relying exclusively on cameras installed on connected cars (e.g. vehicles with Internet access). The proposed method is designed to perform in real-time while requiring a low bandwidth connection as a result of an efficient distributed architecture. Hence, our approach is compatible with both LTE Internet connection and local Wi-Fi networks. To reach this goal, the vehicles share small portions of their respective 3D maps to estimate their relative positions. The global consistency between multiple vehicles is enforced via a novel graph-based strategy. The efficiency of our system is highlighted through a series of real experiments involving multiple vehicles. Moreover, the usefulness of our technique is emphasized by an innovative and unique multi-car see-through system resolving the inherent limitations of the previous approaches. A video demonstration is available via: https://youtu.be/GD7Z95bWP6k. | - |
dc.identifier.bibliographicCitation | INTERNATIONAL JOURNAL OF COMPUTER VISION, v.130, no.2, pp.384 - 404 | - |
dc.identifier.doi | 10.1007/s11263-021-01558-5 | - |
dc.identifier.issn | 0920-5691 | - |
dc.identifier.scopusid | 2-s2.0-85122254088 | - |
dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/56563 | - |
dc.identifier.url | https://link.springer.com/article/10.1007%2Fs11263-021-01558-5 | - |
dc.identifier.wosid | 000738511800004 | - |
dc.language | 영어 | - |
dc.publisher | SPRINGER | - |
dc.title | Real-Time Multi-Car Localization and See-Through System | - |
dc.type | Article | - |
dc.description.isOpenAccess | FALSE | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.type.docType | Article | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordAuthor | Simultaneous localization and mapping | - |
dc.subject.keywordAuthor | Collaborative SLAM | - |
dc.subject.keywordAuthor | Connected vehicles | - |
dc.subject.keywordAuthor | See-through | - |
dc.subject.keywordPlus | SLAM | - |
dc.subject.keywordPlus | ACCURACY | - |
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