Open AccessApplication of artificial neural networks in tasks to support safe maneuvering of the vessels in confined waters
Author(s) -
Sergey Bidenko,
Evgeniy Borodin,
Aleksandr Yashin,
Ivan Gorychev,
Andrey Degtyrev
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/918/1/012089
Subject(s) - visibility , artificial neural network , shoal , computer science , marine engineering , point (geometry) , heading (navigation) , water area , collision avoidance , environmental science , artificial intelligence , collision , geology , meteorology , engineering , geography , oceanography , geodesy , mathematics , geometry , computer security
Sailing in restricted areas (coastal zone, approaches to ports, narrows, and shallow waters) is the most difficult from the navigational point of view. There, the navigational situation changes dynamically due to the complexity of the bottom topography, shoals, the variability of hydrometeorological conditions (wind, currents, visibility, precipitation), the complex configuration of the fairway, the possible appearance of small vessels (high-speed boats and scooters, yachts, fishing boats) steering courses different from recommended ones, etc. An algorithm based on the artificial neural networks is presented for making recommendations on collision avoidance with dangerous objects and safe maneuvering. Limitations in the use of the algorithm are revealed and options for its practical application and further improvement are proposed.