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Augmented reality for maritime navigation data visualisation: a systematic review, issues and perspectives

Published online by Cambridge University Press:  12 May 2021

Francesco Laera*
Affiliation:
Department of Mechanics, Mathematics and Management, Polytechnic University of Bari, Bari, BA, Italy.
Michele Fiorentino
Affiliation:
Department of Mechanics, Mathematics and Management, Polytechnic University of Bari, Bari, BA, Italy.
Alessandro Evangelista
Affiliation:
Department of Mechanics, Mathematics and Management, Polytechnic University of Bari, Bari, BA, Italy.
Antonio Boccaccio
Affiliation:
Department of Mechanics, Mathematics and Management, Polytechnic University of Bari, Bari, BA, Italy.
Vito M. Manghisi
Affiliation:
Department of Mechanics, Mathematics and Management, Polytechnic University of Bari, Bari, BA, Italy.
Joseph Gabbard
Affiliation:
Grado Department of Industrial and Systems Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA
Michele Gattullo
Affiliation:
Department of Mechanics, Mathematics and Management, Polytechnic University of Bari, Bari, BA, Italy.
Antonio E. Uva
Affiliation:
Department of Mechanics, Mathematics and Management, Polytechnic University of Bari, Bari, BA, Italy.
Mario M. Foglia
Affiliation:
Department of Mechanics, Mathematics and Management, Polytechnic University of Bari, Bari, BA, Italy.
*
*Corresponding author. E-mail: [email protected]

Abstract

This study investigates the use of augmented reality technology (AR) in the field of maritime navigation and how researchers and designers have addressed AR data visualisation. The paper presents a systematic review analysing the publication type, the AR device, which information elements are visualised and how, the validation method and technological readiness. Eleven AR maritime solutions identified from scientific papers are studied and discussed in relation to previous navigation tools. It is found that primitive information such as course, compass degrees, boat speed and geographic coordinates continue to be fundamental information to be represented even with AR maritime solutions.

Type
Review Article
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press on behalf of The Royal Institute of Navigation

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