Application of artificial neural networks in tasks to support safe maneuvering of the vessels in confined waters

Autor:	Aleksandr Yashin, Evgeniy Borodin, Ivan Gorychev, Sergey Bidenko, Andrey Degtyrev
Rok vydání:	2020
Předmět:	Artificial neural network Computer science business.industry Artificial intelligence business
Zdroj:	IOP Conference Series: Materials Science and Engineering. 918:012089
ISSN:	1757-899X 1757-8981
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::d1fee627a916e293c60371c619273765 https://doi.org/10.1088/1757-899x/918/1/012089 Zobrazit plný text záznamu