gyroscopyГироскопия и навигацияGiroskopiya i Navigatsiya0869-70352075-0927AO «Концерн «ЦНИИ «Электроприбор»DEGXLPgyroscopy-14Research ArticleСтатьиНейронные сети в решении задач судовожденияNeural Networks in Ship NavigationКузнецовН. В.KuznetsovN. V.

Кузнецов Николай Владимирович. Член-корреспондент РАН, заведующий кафедрой. Действительный член международной общественной организации «Академия навигации и управления движением»

РивкинБ. С.RivkinB. S.

Ривкин Борис Самуилович. Кандидат технических наук, начальник Центра компетенций в области навигации. Действительный член международной общественной организации «Академия навигации и управления движением»

Санкт-Петербургский государственный университетРоссияSt. Petersburg State UniversityRussian FederationАО «Концерн «ЦНИИ «Электроприбор» (С.-Петербург)РоссияConcern CSRI Elektropribor, JSC, St. PetersburgRussian Federation202520052025331335Copyright © Кузнецов Н.В., Ривкин Б.С., 20252025Кузнецов Н.В., Ривкин Б.С.Kuznetsov N.V., Rivkin B.S.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://www.gyroscopy.ru/jour/article/view/14

Статья представляет собой обзор технологий нейронных сетей (НС), используемых при решении задач обеспечения плавания морских надводных объектов. Рассматриваются проблемы формирования траекторий движения, вопросы обнаружения, классификации и расхождения со встречными судами, а также комплексирования навигационных данных и устранения киберрисков.

The paper presents an overview of neural network (NN) technologies applied in navigation support of marine surface vehicles. It considers the problems related to motion path generation, detection, classification, and avoiding collisions with approaching ships, as well as navigation data integration and cybersecurity issues. 

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The authors declare that there are no conflicts of interest present.