# A Multi-task Deep Learning Architecture for Maritime Surveillance using AIS Data Streams

arXiv: https://arxiv.org/abs/1806.03972 · HTML: https://mlsanity.com/paper/1806.03972/

## Key facts

- Cited by 13 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 6 Jun 2018.

## Built on by (most cited first, 13 of 13)

- [Deep Learning Methods for Vessel Trajectory Prediction based on Recurrent Neural Networks](https://mlsanity.com/paper/2101.02486/) (2021)
- [TrAISformer -- A Transformer Network with Sparse Augmented Data Representation and Cross Entropy Loss for AIS-based Vessel Trajectory Prediction](https://mlsanity.com/paper/2109.03958/) (2021)
- [Multi-Path Long-Term Vessel Trajectories Forecasting with Probabilistic Feature Fusion for Problem Shifting](https://mlsanity.com/paper/2310.18948/) (2023)
- [A semi-supervised methodology for fishing activity detection using the geometry behind the trajectory of multiple vessels](https://mlsanity.com/paper/2207.05514/) (2022)
- [Detecting Intentional AIS Shutdown in Open Sea Maritime Surveillance Using Self-Supervised Deep Learning](https://mlsanity.com/paper/2310.15586/) (2023)
- [AIS-LLM: A Unified Framework for Maritime Trajectory Prediction, Anomaly Detection, and Collision Risk Assessment with Explainable Forecasting](https://mlsanity.com/paper/2508.07668/) (2025)
- [Unfolding AIS transmission behavior for vessel movement modeling on noisy data leveraging machine learning](https://mlsanity.com/paper/2202.13867/) (2022)
- [Recurrent Encoder-Decoder Networks for Vessel Trajectory Prediction with Uncertainty Estimation](https://mlsanity.com/paper/2205.05404/) (2022)
- [Enhancing Maritime Trajectory Forecasting via H3 Index and Causal Language Modelling (CLM)](https://mlsanity.com/paper/2405.09596/) (2024)
- [Logic Rules Meet Deep Learning: A Novel Approach for Ship Type Classification](https://mlsanity.com/paper/2111.01042/) (2021)
- [WAY: Estimation of Vessel Destination in Worldwide AIS Trajectory](https://mlsanity.com/paper/2512.13190/) (2025)
- [Multi model LSTM architecture for Track Association based on Automatic Identification System Data](https://mlsanity.com/paper/2304.01491/) (2023)
- [Semi-decentralized Federated Time Series Prediction with Client Availability Budgets](https://mlsanity.com/paper/2509.03660/) (2025)

## Abstract (arXiv)

In a world of global trading, maritime safety, security and efficiency are crucial issues. We propose a multi-task deep learning framework for vessel monitoring using Automatic Identification System (AIS) data streams. We combine recurrent neural networks with latent variable modeling and an embedding of AIS messages to a new representation space to jointly address key issues to be dealt with when considering AIS data streams: massive amount of streaming data, noisy data and irregular timesampling. We demonstrate the relevance of the proposed deep learning framework on real AIS datasets for a three-task setting, namely trajectory reconstruction, anomaly detection and vessel type identification.