h1

h2

h3

h4

h5
h6
http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png

SubPipe: A Submarine Pipeline Inspection Dataset for Segmentation and Visual-inertial Localization

; ; ; ; ;

Umfang7 Seiten

Online
DOI: 10.48550/arXiv.2401.17907

DOI: 10.18154/RWTH-2024-02063
URL: https://publications.rwth-aachen.de/record/980063/files/980063.pdf

Einrichtungen

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


OpenAccess:
Download fulltext PDF
External link:
Download fulltextFulltext by arXiv.org

Dokumenttyp
Preprint

Format
online

Sprache
English

Anmerkung
Peer review status of article unknown

Externe Identnummern
arXiv: arXiv:2401.17907

Interne Identnummern
RWTH-2024-02063
Datensatz-ID: 980063

Beteiligte Länder
Denmark, Germany, Portugal

 GO

Related:

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Contribution to a book/Contribution to a conference proceedings  ;  ;  ;  ;  ;
Subpipe: a submarine pipeline inspection dataset for segmentation and visual-inertial localization
OCEANS 2024 - Singapore : [Proceedings]
OCEANS 2024, SingaporeSingapore, Singapore, 15 Apr 2024 - 18 Apr 20242024-04-152024-04-18 Piscataway, NJ : IEEE 7 Seiten () [10.1109/OCEANS51537.2024.10682150]  GO BibTeX | EndNote: XML, Text | RIS

Creative Commons Attribution-ShareAlike CC BY-SA 4.0 ; OpenAccess
QR Code for this record

The record appears in these collections:
Document types > Other document types > Preprints
Publication server / Open Access
Faculty of Computer Science (Fac.9)
Public records
Publications database
120000
123420
 Record created 2024-02-26, last modified 2026-03-17
Similar records


OpenAccess:
Download fulltext PDF
External link:
Download fulltextFulltext by arXiv.org
Rate this document:

Rate this document:
1
2
3
4
5
 
(Not yet reviewed)