Open AccessA Review over AI Methods Developed for Maritime Awareness Systems
Author(s) -
Pohontu Alexandru
Publication year - 2020
Publication title -
scientific bulletin
Language(s) - English
Resource type - Journals
eISSN - 2392-8956
pISSN - 1454-864X
DOI - 10.21279/1454-864x-20-i2-107
Subject(s) - process (computing) , maritime industry , maritime safety , computer security , maritime security , engineering , computer science , risk analysis (engineering) , business , economy , commerce , economics , operating system
Due to their operations against illegal activities, maritime threats or collision prevention analysis, maritime surveillance plays a vital role in maritime traffic security and safety management. Today's maritime surveillance and awareness systems can integrate multiple data sources like: coastal, HFSWR and SAR radars, AIS or satellite imagery; and this process produces massive amounts of data. That available data can be processed, with the use of Artificial Intelligence (AI) methods and algorithms, to automatically monitor the maritime traffic and its implications in safety, security, economy and environment. This paper's purpose is to briefly reveal current AI techniques that have been researched and deployed in the industry, and to seize the opportunity of implementing them.