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A Large-Scale AIS Dataset from Finnish Water

arXiv 2609.12938 ↗First posted 11 Sep 2026cs.LGcited by 0

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Abstract (arXiv)

This research paper contributes to the maritime research community by introducing a comprehensive AIS dataset from Finnish waters, specifically the Baltic Sea region. AIS data, initially designed for collision prevention, have evolved into a versatile tool with applications across diverse maritime domains. Our paper not only curates and categorises existing AIS datasets but also introduces a collected AIS dataset from the Baltic Sea area, renowned for its intercontinental cargo routes, military activities, and frozen water expanses. This dataset includes 229 millions data points and provides researchers with a resource for studying maritime activities and vessel behaviour in this dynamic region, notably distinguished by the inclusion of data from Finnish lakes. Our analysis includes a detailed listing of ship types and relevant features, empowering researchers to explore various maritime domains. To enhance comprehension and analysis, we provide visualisations of maritime traffic patterns. By publishing this AIS dataset, we aim to catalyse innovation and collaboration in maritime research, offering a gateway to deeper insights into maritime activities in the Baltic Sea and Finnish lakes.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 4 of its 40 references that are in the map. First posted on arXiv 11 Sep 2026.

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4 of 40 references.

References · 4

  1. 2020COLREG-Compliant Collision Avoidance for Unmanned Surface Vehicle using Deep Reinforcement Learningcited by 17
  2. 2021Risk-based implementation of COLREGs for autonomous surface vehicles using deep reinforcement learningcited by 8
  3. 2020Machine Learning-Assisted Anomaly Detection in Maritime Navigation Using AIS Datacited by 6
  4. 2022SimuShips -- A High Resolution Simulation Dataset for Ship Detection with Precise Annotationscited by 3

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