What is it about?
This article presents a combination of remote sensing, an artificial neural network, and game theory to synthesize a system for safe ship traffic management at sea.
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Why is it important?
An important new solution in relation to the existing ones is the use of radar remote sensing in the marine environment together with artificial intelligence methods in the form of an artificial neural network and simplified models of differential games that allow for the synthesis of computer programs supporting the navigator’s control and take into account their subjective assessment of the situation and the ability to maneuver other ships. The computer control algorithms presented in this paper take into account the legal rules of COLREGs maneuvering, as well as the maneuver advance time, and evaluate the final deviation of the safe trajectory from the set trajectory.
Perspectives
Future work should perform a sensitivity analysis of safe ship control to change the parameters of the control process models and to correct inaccuracies in remote sensing information. In addition, the design of the ARPA system could be extended with an additional function that generates a computer-assisted decision for the maneuvering navigator using an algorithm that connects the game with a neural network.
Professor Józef Andrzej Lisowski
Read the Original
This page is a summary of: Artificial Intelligence Methods in Safe Ship Control Based on Marine Environment Remote Sensing, Remote Sensing, December 2022, MDPI AG,
DOI: 10.3390/rs15010203.
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