Neural Networks in Ship Navigation

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.

Authors

Institutions

Publication Details

Journal
Gyroscopy and Navigation
Published
2025-03-01
DOI
https://doi.org/10.1134/s2075108725700087
Primary Topic
Maritime Navigation and Safety
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Neural Networks in Ship Navigation

B. S. Rivkin, Nikolay Kuznetsov
Gyroscopy and Navigation
Maritime Navigation and Safety
article

Neural Networks in Ship Navigation

B. S. Rivkin, Nikolay Kuznetsov
article en

Abstract

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.

Gyroscopy and NavigationVol. 16(1)
St Petersburg University (RU), Oceanpribor (Russia) (RU), State Research Center of the Russian Federation (RU)
Openalex Percentile: Top 69%
Maritime Navigation and Safety
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.