A Multi-task Deep Learning Architecture for Maritime Surveillance using AIS Data Streams
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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.
Key facts. Cited by 13 papers in the map (data through 7 Oct 2026). First posted on arXiv 6 Jun 2018.
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Citing papers per year: 2021: 3; 2022: 3; 2023: 3; 2024: 1; 2025: 3.
13 papers.
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- 2021Deep Learning Methods for Vessel Trajectory Prediction based on Recurrent Neural Networkscited by 32
- 2021TrAISformer -- A Transformer Network with Sparse Augmented Data Representation and Cross Entropy Loss for AIS-based Vessel Trajectory Predictioncited by 20
- 2023Multi-Path Long-Term Vessel Trajectories Forecasting with Probabilistic Feature Fusion for Problem Shiftingcited by 12
- 2022A semi-supervised methodology for fishing activity detection using the geometry behind the trajectory of multiple vesselscited by 6
- 2023Detecting Intentional AIS Shutdown in Open Sea Maritime Surveillance Using Self-Supervised Deep Learningcited by 5
- 2025AIS-LLM: A Unified Framework for Maritime Trajectory Prediction, Anomaly Detection, and Collision Risk Assessment with Explainable Forecastingcited by 4
- 2022Unfolding AIS transmission behavior for vessel movement modeling on noisy data leveraging machine learningcited by 3
- 2022Recurrent Encoder-Decoder Networks for Vessel Trajectory Prediction with Uncertainty Estimationcited by 3
- 2024Enhancing Maritime Trajectory Forecasting via H3 Index and Causal Language Modelling (CLM)cited by 3
- 2021Logic Rules Meet Deep Learning: A Novel Approach for Ship Type Classificationcited by 1
- 2025WAY: Estimation of Vessel Destination in Worldwide AIS Trajectorycited by 1
- 2023Multi model LSTM architecture for Track Association based on Automatic Identification System Datacited by 0
- 2025WAY: Estimation of Vessel Destination in Worldwide AIS Trajectory15 Dec 2025
- 2025Semi-decentralized Federated Time Series Prediction with Client Availability Budgets3 Sep 2025
- 2025AIS-LLM: A Unified Framework for Maritime Trajectory Prediction, Anomaly Detection, and Collision Risk Assessment with Explainable Forecasting11 Aug 2025
- 2024Enhancing Maritime Trajectory Forecasting via H3 Index and Causal Language Modelling (CLM)15 May 2024
- 2023Multi-Path Long-Term Vessel Trajectories Forecasting with Probabilistic Feature Fusion for Problem Shifting29 Oct 2023
- 2023Detecting Intentional AIS Shutdown in Open Sea Maritime Surveillance Using Self-Supervised Deep Learning24 Oct 2023
- 2023Multi model LSTM architecture for Track Association based on Automatic Identification System Data4 Apr 2023
- 2022A semi-supervised methodology for fishing activity detection using the geometry behind the trajectory of multiple vessels12 Jul 2022
- 2022Recurrent Encoder-Decoder Networks for Vessel Trajectory Prediction with Uncertainty Estimation11 May 2022
- 2022Unfolding AIS transmission behavior for vessel movement modeling on noisy data leveraging machine learning24 Feb 2022
- 2021Logic Rules Meet Deep Learning: A Novel Approach for Ship Type Classification1 Nov 2021
- 2021TrAISformer -- A Transformer Network with Sparse Augmented Data Representation and Cross Entropy Loss for AIS-based Vessel Trajectory Prediction8 Sep 2021
- 2021Deep Learning Methods for Vessel Trajectory Prediction based on Recurrent Neural Networkscited by 32
- 2021TrAISformer -- A Transformer Network with Sparse Augmented Data Representation and Cross Entropy Loss for AIS-based Vessel Trajectory Predictioncited by 20
- 2023Multi-Path Long-Term Vessel Trajectories Forecasting with Probabilistic Feature Fusion for Problem Shiftingcited by 12
- 2022A semi-supervised methodology for fishing activity detection using the geometry behind the trajectory of multiple vesselscited by 6
- 2023Detecting Intentional AIS Shutdown in Open Sea Maritime Surveillance Using Self-Supervised Deep Learningcited by 5
- 2025AIS-LLM: A Unified Framework for Maritime Trajectory Prediction, Anomaly Detection, and Collision Risk Assessment with Explainable Forecastingcited by 4
- 2022Unfolding AIS transmission behavior for vessel movement modeling on noisy data leveraging machine learningcited by 3
- 2022Recurrent Encoder-Decoder Networks for Vessel Trajectory Prediction with Uncertainty Estimationcited by 3
- 2024Enhancing Maritime Trajectory Forecasting via H3 Index and Causal Language Modelling (CLM)cited by 3
- 2021Logic Rules Meet Deep Learning: A Novel Approach for Ship Type Classificationcited by 1
- 2025WAY: Estimation of Vessel Destination in Worldwide AIS Trajectorycited by 1
- 2023Multi model LSTM architecture for Track Association based on Automatic Identification System Datacited by 0
12 most cited of 13 All 13 (JSON)
- 2025WAY: Estimation of Vessel Destination in Worldwide AIS Trajectory15 Dec 2025
- 2025Semi-decentralized Federated Time Series Prediction with Client Availability Budgets3 Sep 2025
- 2025AIS-LLM: A Unified Framework for Maritime Trajectory Prediction, Anomaly Detection, and Collision Risk Assessment with Explainable Forecasting11 Aug 2025
- 2024Enhancing Maritime Trajectory Forecasting via H3 Index and Causal Language Modelling (CLM)15 May 2024
- 2023Multi-Path Long-Term Vessel Trajectories Forecasting with Probabilistic Feature Fusion for Problem Shifting29 Oct 2023
- 2023Detecting Intentional AIS Shutdown in Open Sea Maritime Surveillance Using Self-Supervised Deep Learning24 Oct 2023
- 2023Multi model LSTM architecture for Track Association based on Automatic Identification System Data4 Apr 2023
- 2022A semi-supervised methodology for fishing activity detection using the geometry behind the trajectory of multiple vessels12 Jul 2022
- 2022Recurrent Encoder-Decoder Networks for Vessel Trajectory Prediction with Uncertainty Estimation11 May 2022
- 2022Unfolding AIS transmission behavior for vessel movement modeling on noisy data leveraging machine learning24 Feb 2022
- 2021Logic Rules Meet Deep Learning: A Novel Approach for Ship Type Classification1 Nov 2021
- 2021TrAISformer -- A Transformer Network with Sparse Augmented Data Representation and Cross Entropy Loss for AIS-based Vessel Trajectory Prediction8 Sep 2021
12 newest of 13 All 13 (JSON)