Pregled bibliografske jedinice broj: 1192691
Application of Advanced Digital Technologies for AIS Data Utilization
Application of Advanced Digital Technologies for AIS Data Utilization // Book of Extended Abstracts of the 15th Baška GNSS Conference: Technologies, Techniques and Applications Across PNT and The 2nd Workshop on Smart, Blue and Green Maritime Technologies / Brčić, David ; Valčić, Marko ; Kos, Serđo ; Vuković, Josip (ur.).
Rijeka: Pomorski fakultet Sveučilišta u Rijeci, 2022. str. 145-148 (predavanje, međunarodna recenzija, prošireni sažetak, znanstveni)
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Naslov
Application of Advanced Digital Technologies for AIS
Data Utilization
Autori
Lopac, Nikola ; Jurdana, Irena ; Wakabayashi, Nobukazu ; Liu, Hongze
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, prošireni sažetak, znanstveni
Izvornik
Book of Extended Abstracts of the 15th Baška GNSS Conference: Technologies, Techniques and Applications Across PNT and The 2nd Workshop on Smart, Blue and Green Maritime Technologies
/ Brčić, David ; Valčić, Marko ; Kos, Serđo ; Vuković, Josip - Rijeka : Pomorski fakultet Sveučilišta u Rijeci, 2022, 145-148
Skup
15th Annual Baška GNSS Conference ; The 2nd Workshop on Smart, Blue and Green Maritime Technologies
Mjesto i datum
Baška, Hrvatska, 08.05.2022. - 13.05.2022
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Automatic Identification System (AIS) ; digital technology ; e-navigation ; maritime communication system ; maritime transport
Sažetak
The Automatic Identification System (AIS) uses Very High Frequency (VHF) to communicate navigational information among vessels and between vessels and shore. This work presents recent research on the application of advanced digital technologies for additional utilization of AIS data in support of navigation, including microservices architecture-based platform for providing maritime data, a novel data compression method for use in transmission of large quantities of shipboard data required in future autonomous vessel operation and the possibilities of the application of some more advanced computational methods, such as machine learning, in AIS data analysis.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo, Tehnologija prometa i transport
POVEZANOST RADA
Ustanove:
Pomorski fakultet, Rijeka