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

; ; ; ; ;

Umfang6 Seiten

Online
DOI: 10.48550/arXiv.2402.04045

DOI: 10.18154/RWTH-2024-02065
URL: https://publications.rwth-aachen.de/record/980065/files/980065.pdf

Einrichtungen

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


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Dokumenttyp
Preprint

Format
online

Sprache
English

Anmerkung
Peer review status of article unknown

Externe Identnummern
arXiv: arXiv:2402.04045

Interne Identnummern
RWTH-2024-02065
Datensatz-ID: 980065

Beteiligte Länder
Denmark, Germany, Portugal

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Related:

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Contribution to a book/Contribution to a conference proceedings  ;  ;  ;  ;  ;
Mission Planning and Safety Assessment for Pipeline Inspection Using Autonomous Underwater Vehicles: A Framework Based on Behavior Trees
OCEANS 2024 - Singapore : [Proceedings]
OCEANS 2024, SingaporeSingapore, Singapore, 15 Apr 2024 - 18 Apr 20242024-04-152024-04-18
Piscataway, NJ : IEEE 6 Seiten () [10.1109/OCEANS51537.2024.10682385]  GO BibTeX | EndNote: XML, Text | RIS


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 Record created 2024-02-26, last modified 2026-03-17


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