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Mission Planning and Safety Assessment for Pipeline Inspection Using Autonomous Underwater Vehicles: A Framework Based on Behavior Trees

; ; ; ; ;

In
OCEANS 2024 - Singapore : [Proceedings], Seiten/Artikel-Nr: 6 Seiten

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

ImpressumPiscataway, NJ : IEEE

Umfang6 Seiten

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

Online
DOI: 10.1109/OCEANS51537.2024.10682385


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, print

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85206460662
WOS Core Collection: WOS:001332919300258
OpenAlex: W4402810836

Interne Identnummern
RWTH-2024-11313
Datensatz-ID: 998334

Beteiligte Länder
Denmark, Germany, Portugal

 GO

Related:

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Preprint  ;  ;  ;  ;  ;
Mission Planning and Safety Assessment for Pipeline Inspection Using Autonomous Underwater Vehicles: A Framework based on Behavior Trees
6 Seiten () [10.48550/arXiv.2402.04045]  GO OpenAccess  Download fulltext Files  Download fulltextFulltext by arXiv.org BibTeX | EndNote: XML, Text | RIS

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Document types > Books > Contributions to a book
Faculty of Computer Science (Fac.9)
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120000
123420
 Record created 2024-12-02, last modified 2026-09-14
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