2023
Journal article  Open Access

E-Navigation: a distributed decision support system with extended reality for bridge and ashore seafarers

Cassarà P., Di Summa M., Gotta A., Martelli M.

Situation awareness  Extended reality  Decision support system  Digital twin  Computer Science Applications  Autonomous ship  Maritime IoT-based mobile communications  Automotive Engineering  Mechanical Engineering  Virtual bridge 

A distributed decision support system has beendeveloped to assist seafarers during several navigation tasks, forinstance, in avoiding a collision with a detected obstacle in the seaand envisioning a future autonomous navigation system. In thispaper, the decision support system is based on the results ofa customized simulation model representing the ship's behavior,including hydrodynamics, propulsion, and control effects. Sensorsmonitor and collect the parameters of the environment andthe ship onboard. The telemetry and the calculated route arevisualized on a wearable visor exploiting augmented reality.Such context information is also replicated ashore through anarrow-band satellite link using an IoT publish-subscribe communicationparadigm to allow one or more remote seafarers tosupervise the situation in a virtual reality environment. Overall,the potential of the proposed system is presented and discussedfor application in the context of autonomous navigation.

Source: IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (ONLINE), vol. 24 (issue 11), pp. 13384-13395


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BibTeX entry
@article{oai:it.cnr:prodotti:492178,
	title = {E-Navigation: a distributed decision support system with extended reality for bridge and ashore seafarers},
	author = {Cassarà P. and Di Summa M. and Gotta A. and Martelli M.},
	doi = {10.1109/tits.2023.3311817},
	year = {2023}
}