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Subpipe: a submarine pipeline inspection dataset for segmentation and visual-inertial localization

; ; ; ; ;

In
OCEANS 2024 - Singapore : [Proceedings], Seiten/Artikel-Nr: 7 Seiten

Konferenz/Event:OCEANS 2024 , Singapore , Singapore , 2024-04-15 - 2024-04-18

ImpressumPiscataway, NJ : IEEE

Umfang7 Seiten

ISBN979-8-3503-6207-7, 979-8-3503-6208-4

Online
DOI: 10.1109/OCEANS51537.2024.10682150


Einrichtungen

  1. Lehr- und Forschungsgebiet Theorie Hybrider Systeme (123420)
  2. Fachgruppe Informatik (120000)



Dokumenttyp
Contribution to a book/Contribution to a conference proceedings

Format
online

Sprache
English

Anmerkung
Peer review status of article unknown

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85206494266
WOS Core Collection: WOS:001332919300024
OpenAlex: W4402810400

Interne Identnummern
RWTH-2024-11278
Datensatz-ID: 998290

Beteiligte Länder
Denmark, Germany, Portugal

 GO

Related:

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Preprint  ;  ;  ;  ;  ;
SubPipe: A Submarine Pipeline Inspection Dataset for Segmentation and Visual-inertial Localization
7 Seiten () [10.48550/arXiv.2401.17907]  GO OpenAccess  Download fulltext Files  Download fulltextFulltext by arXiv.org BibTeX | EndNote: XML, Text | RIS

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123420
 Record created 2024-12-02, last modified 2026-09-14
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