Brian Murray
Volker Hoffmann,
Jan-Hendrik Webert,
Brian Murray,
Robert Graf
:
Data-driven construction of maritime traffic networks for AI-based route prediction
Brian Murray,
Pauline Røstum Bellingmo,
Thorbjørn Tønnesen Lied,
Marianne Hagaseth
:
Autoencoder-Based Anomaly Detection for Safe Autonomous Ship Operations
2023 DOI
Andreas Tritsarolis,
Brian Murray,
Nikos Pelekis,
Yannis Theodoridis
:
Collision Risk Assessment and Forecasting on Maritime Data
Ulrik Jørgensen,
Pauline Røstum Bellingmo,
Brian Murray,
Svein Peder Berge,
Armin Pobitzer
:
Ship Route Optimization Using Hybrid Physics-Guided Machine Learning
Svein Peder Berge,
Ulrik Jørgensen,
Brian Murray,
Armin Pobitzer,
Ole Georg Rørhus
:
Evaluation of Ship Energy Models and Route Optimization
2022
Brian Murray,
Ørnulf Jan Rødseth,
Håvard Nordahl,
Lars Andreas Lien Wennersberg,
Armin Pobitzer,
Henrik Foss
:
Approvable AI for Autonomous Ships: Challenges and Possible Solutions
Brian Murray,
Lokukaluge Prasad Perera
:
Ship behavior prediction via trajectory extraction-based clustering for maritime situation awareness
Brian Murray,
Lokukaluge Prasad Perera
:
Proactive Collision Avoidance for Autonomous Ships: Leveraging Machine Learning to Emulate Situation Awareness
Brian Murray,
Lokukaluge Prasad Perera
:
An AIS-based deep learning framework for regional ship behavior prediction
Brian Murray,
Lokukaluge Prasad Perera
:
Deep Representation Learning-Based Vessel Trajectory Clustering for Situation Awareness in Ship Navigation
2021 DOI
Brian Murray,
Lokukaluge Prasad Perera
:
Unsupervised Trajectory Anomaly Detection for Situation Awareness in Maritime Navigation
Brian Murray,
Lokukaluge Prasad Perera
:
A dual linear autoencoder approach for vessel trajectory prediction using historical AIS data
Lokukaluge Prasad Perera,
Brian Murray
:
Situation Awareness of Autonomous Ship Navigation in a Mixed Environment under Advanced Ship Predictor
2019 DOI
Brian Murray,
Lokukaluge Prasad Perera
:
An AIS-Based Multiple Trajectory Prediction Approach for Collision Avoidance in Future Vessels
Brian Murray,
Lokukaluge Prasad Perera
:
A data-driven approach to vessel trajectory prediction for safe autonomous ship operations
2018 DOI
Brian Murray,
Lars Andreas Lien Wennersberg,
Henrik Foss
:
Autonome skip er i horisonten: Er AI klar til å ta kommandoen?
2025
Brian Murray,
Lars Andreas Lien Wennersberg,
Henrik Foss
:
Autonomous ships are on the horizon: Is AI ready to take command? - https://norwegianscitechnews.com/2024/05/autonomous-ships-are-on-the-horizon-is-ai-ready-to-take-command/
2024
Håvard Nordahl,
Ørnulf Jan Rødseth,
Dag Atle Nesheim,
Lars Andreas Lien Wennersberg,
Brian Murray,
Yaseen Adnan Ahmed
et al.:
AUTOSHIP Deliverable D8.2: Roadmap for Autonomous ship adoption and development
SINTEF Ocean AS 2023 ARKIV
Brian Murray,
Pauline Røstum Bellingmo,
Marianne Hagaseth,
Thorbjørn Tønnesen Lied
:
Autoencoder-Based Anomaly Detection for Safe Autonomous Ship Operations
2023
Brian Murray,
Pauline Røstum Bellingmo,
Marianne Hagaseth,
Thorbjørn Tønnesen Lied
:
Supporting Remote Operation Centres for Unmanned Ships Through Machine Learning- Based Route Prediction
2023
Brian Murray,
Lars Andreas Lien Wennersberg,
Stig Ole Johnsen
:
En «KI-kaptein» på fregatten ville neppe unngått kollisjon
2023
Ulrik Jørgensen,
Pauline Røstum Bellingmo,
Brian Murray,
Svein Peder Berge,
Armin Pobitzer
:
Ship Route Optimization Using Hybrid Physics-Guided Machine Learning
2022
Marianne Hagaseth,
Ørnulf Jan Rødseth,
Per HÃ¥kon Meland,
Egil Wille,
Brian Murray,
Pia Meling
:
Methodology for Approval of Autonomous Ship System CONOPS
2022
Svein Peder Berge,
Pauline Røstum Bellingmo,
Brian Murray,
Ulrik Jørgensen,
Ole Georg Rørhus,
Armin Pobitzer
:
Evaluation of Ship Energy Models and Route Optimization
2022
Brian Murray,
Lokukaluge Prasad Perera,
Egil Pedersen,
Henrique Murilo Gaspar
:
Machine Learning for Enhanced Maritime Situation Awareness - Leveraging Historical AIS Data for Ship Trajectory Prediction (PhD Thesis)
UiT Norges arktiske universitet 2021
Magne-Petter Sollid,
Brian Murray
:
Navigational Challenges in the Spitsbergen Area
2017
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