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ROVON: An Ontology for Supporting Interoperability for Underwater Robots

Underwater robotics produces diverse and complex streams of sensor, image, video, and navigational data under challenging environmental conditions, creating obstacles for seamless integration and interpretation. This paper introduces ROVON (Remotely Operated Vehicle Ontology), a semantic framework d...

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Détails bibliographiques
Auteurs principaux: Mansour Taheri Andani, Farhad Ameri
Format: Artigo
Langue:Inglês
Publié: MDPI AG 2025-11-01
Collection:Journal of Marine Science and Engineering
Sujets:
Accès en ligne:https://www.mdpi.com/2077-1312/13/12/2227
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