Deep Learning Applications in Vessel Dead Reckoning to Deal with Missing Automatic Identification System Data

Deep Learning Applications in Vessel Dead Reckoning to Deal with Missing Automatic Identification System Data

This research introduces an online system for monitoring maritime traffic, aimed at tracking vessels in water routes and predicting their subsequent locations in real time. The proposed framework utilizes an Extract, Transform, and Load (ETL) pipeline to dynamically process AIS data by cleaning, com...

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Bibliographic Details
Main Authors: Atefe Sedaghat, Homayoon Arbabkhah, Masood Jafari Kang, Maryam Hamidi
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Journal of Marine Science and Engineering
Subjects:
online traffic monitoring
ETL pipeline
AIS data
vessel trajectory prediction
dead reckoning
GIWW
Online Access:https://www.mdpi.com/2077-1312/12/1/152

Internet

https://www.mdpi.com/2077-1312/12/1/152

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