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A Collision Avoidance Method for Autonomous Underwater Vehicles Based on Long Short-Term Memories

Antal, László (Corresponding author)^RWTH* ; Aubard, Martin ; Ábrahám, Erika^RWTH* ; Madureira, Ana ; Madureira, Luís ; Costa, Maria ; Pinto, José ; Campos, Renato

In
Innovations in Bio-Inspired Computing and Applications : Proceedings of the 13th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA 2022) Held During December 15-17, 2022 / edited by Ajith Abraham, Anu Bajaj, Niketa Gandhi, Ana Maria Madureira, Cengiz Kahraman, Seiten/Artikel-Nr: 448-457

2023

Konferenz/Event:13. International Conference on Innovations in Bio-Inspired Computing and Applications , Auburn, WA , USA , IBICA22 , 2022-12-15 - 2022-12-17

ImpressumCham : Springer Nature Switzerland

Umfang448-457

ISBN978-3-031-27498-5, 978-3-031-27499-2, 978-3-031-27500-5

ReiheLecture Notes in Networks and Systems ; 649

Online
DOI: 10.1007/978-3-031-27499-2_42
10.1007/978-3-031-27499-2_42
URL: https://publications.rwth-aachen.de/record/955843/files/955843.pdf

Einrichtungen

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

Projekte

1. REMARO - Reliable AI for Marine Robotics (956200) (956200)

Restricted:
PDF

Dokumenttyp
Contribution to a book/Contribution to a conference proceedings

Format
online, print

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85152533322

Interne Identnummern
RWTH-2023-03737
Datensatz-ID: 955843

Beteiligte Länder
Germany, Portugal