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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
https://doi.org/10.1049/sbra56...
Part of book or chapter of book . 2025 . Peer-reviewed
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Autonomy in the maritime domain

Authors: Wanderlingh F.; Simetti E.; Indiveri G.;

Autonomy in the maritime domain

Abstract

In the last decades, the maritime sector has experienced significant evolution, thanks to the advancements in autonomous systems that enable innovative functionalities in the domains of scientific, commercial, search and rescue, and defense operations. These kind of systems leverage a broad range of technologies, such as sensor integration, advanced perception, navigation, guidance, and machine learning, providing support to autonomous surface and underwater vehicles for handling dynamic and unpredictable marine environments. Autonomous marine platforms are integral to scientific research, allowing for continuous ocean monitoring, underwater inspections, and environmental data collection. In commercial and industrial scenarios, these systems can optimize shipping efficiency by reducing fuel consumption and improving safety. The defense sector also benefits from autonomous maritime systems in surveillance, counter-mine, and security operations, while search and rescue missions take advantage of autonomous vehicles for rapid response and disaster management. This chapter explores the technologies that enable these systems, their applications in the aforementioned fields, and lastly future developments in maritime autonomy, highlighting their transformative impact and ongoing research efforts to improve their functionalities.

Country
Italy
Keywords

marine robotics, guidance, navigation, control, modelling, system architectures

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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