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 been developed to assist seafarers during several navigation tasks, for instance, in avoiding a collision with a detected obstacle in the sea and envisioning a future autonomous navigation system. In this paper, the decision support system is based on the results of a customized simulation model representing the ship's behavior, including hydrodynamics, propulsion, and control effects. Sensors monitor and collect the parameters of the environment and the ship onboard. The telemetry and the calculated route are visualized on a wearable visor exploiting augmented reality. Such context information is also replicated ashore through a narrow-band satellite link using an IoT publish-subscribe communication paradigm to allow one or more remote seafarers to supervise the situation in a virtual reality environment. Overall, the potential of the proposed system is presented and discussed for application in the context of autonomous navigation.

Source: IEEE transactions on intelligent transportation systems (Online) 24 (2023): 13384–13395. doi:10.1109/TITS.2023.3311817

Publisher: IEEE,, [New York, NY] , Stati Uniti d'America


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BibTeX entry
	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.},
	publisher = {IEEE,, [New York, NY] , Stati Uniti d'America},
	doi = {10.1109/tits.2023.3311817},
	journal = {IEEE transactions on intelligent transportation systems (Online)},
	volume = {24},
	pages = {13384–13395},
	year = {2023}