RESULTS

Publications

Challenges of Artificial Intelligence and Machine Learning Software in Autonomous Vessels. Ashraf, A., Lilius, J., Porres Paltor, I., Walden, M. & Petre, L., 2021, Proceedings of International Seminar on Safety and Security of Autonomous Vessels (ISSAV’19). p. https://research.abo.fi/en/publications/challenges-of-artificial-intelligence-and-machine-learning-softwa

Prediction of on-board energy usage combining physics-based modeling and machine learning. Björkqvist, J., Manngård, M., Gustafsson, W., Böling, J. & Hammarström, J., May 2021, 3rd International Conference on Modelling and Optimisation of Ship Energy Systems. Espoo. https://research.abo.fi/en/publications/prediction-of-on-board-energy-usage-combining-physics-based-model

ABOships – An Inshore and Offshore Maritime Vessel Detection Dataset with Precise Annotations. Iancu, B., Soloviev, V., Zelioli, L. & Lilius, J., 5 Feb 2021, In: Remote Sensing. 13, 5, p. 1-17 17 p., 988. https://research.abo.fi/en/publications/aboships-an-inshore-and-offshore-maritime-vessel-detection-datase

A Systematic Mapping Study on Edge Computing Approaches for Maritime Applications. Morariu, A-R., Ashraf, A. & Björkqvist, J., 1 Sep 2021, Euromicro DSD/SEAA 2021. IEEE Computer Society Conference Publishing Services (CPS), 8 p. https://research.abo.fi/en/publications/a-systematic-mapping-study-on-edge-computing-approaches-for-marit

Formal Verification of COLREG-Based Navigation of Maritime Autonomous Systems. Shokri-Manninen, F., Vain, J., Walden, M., de Boer, F. (Ed.), & Cerone, A. (Ed.) (2020).  In Proceedings of SEFM 2020 -The 18th International Conference on Software Engineering and Formal Methods (pp. –) https://research.abo.fi/en/publications/formal-verification-of-colreg-based-navigation-of-maritime-autono 

A survey of machine learning approaches for surface maritime navigation. Azimi, S., Salokannel, J., Lafond, S., Lilius, J., Salokorpi, M. & Porres, I., 2020, Maritime Transport VIII: proceedings of the 8th International Conference on Maritime Transport: Technology, Innovation and Research: Maritime Transport ’20.Iniciativa Digital Politècnica, p. 103 117 p. https://research.abo.fi/en/publications/a-survey-of-machine-learning-approaches-for-surface-maritime-navi

On the Verification and Validation of AI Navigation Algorithms.Porres, I., Azimi, S., Lafond, S., Lilius, J., Salokannel, J. & Salokorpi, M., 2020, Global OCEANS 2020. https://research.abo.fi/en/publications/on-the-verification-and-validation-of-ai-navigation-algorithms

Scenario-based Testing of a Ship Collision Avoidance System. Porres, I., Azimi, S. & Lilius, J., 2020, 2020 46th Euromicro Conference on Software Engineering and Advanced Applications (SEAA). IEEE, p. 545-552. https://research.abo.fi/en/publications/scenario-based-testing-of-a-ship-collision-avoidance-system

Edge-based Vibration Monitoring of Marine Vessel Engines. Morariu, A-R., Lund, W., Lundell, A., Björkqvist, J. & Anders, Ö., 14 Oct 2020, 12th Symposium on High-Performance Marine Vehicles : HIPER’20. Volker, B. (ed.). Technische Universität Hamburg-Harburg, p. 239-250 12 p. https://research.abo.fi/en/publications/edge-based-vibration-monitoring-of-marine-vessel-engines

Using Digital Twin Technology to Ensure Data Quality in Transport Systems. Björkqvist, J., Manngård, M. & Lund, W., 2020, Proceedings of TRA2020, the 8th Transport Research Arena: Rethinking transport – towards clean and inclusive mobility. Helsinki, (Traficom Research Reports; no. 7). https://research.abo.fi/en/publications/using-digital-twin-technology-to-ensure-data-quality-in-transport

Comparing CNN-Based Object Detectors on Two Novel Maritime Datasets. Soloviev, V., Farahnakian, F., Zelioli, L., Iancu, B., Lilius, J. & Heikkonen, J., 2020, 2020 IEEE International Conference on Multimedia & Expo Workshops (ICMEW). IEEE https://research.abo.fi/en/publications/comparing-cnn-based-object-detectors-on-two-novel-maritime-datase

Estimation of propeller torque in azimuth thrusters. Manngård, M., Lund, W., Keski-Rahkonen, J., Nänimäinen, J., Saarela, V-P., Björkqvist, J. & Toivonen, H., 2019, In: IFAC-PapersOnLine. 52, 21, p. 140–145 https://research.abo.fi/en/publications/estimation-of-propeller-torque-in-azimuth-thrusters

Virtual sensing in marine systems. Manngård, M., Lund, W., Björkqvist, J., Toivonen, H., Sin, G. (ed.), Bagterp Jørgensen, J. (ed.) & Kjøbsted Huusom, J. (ed.), 2019. https://research.abo.fi/en/publications/virtual-sensing-in-marine-systems

Building and operating a UHF-band test network for providing mission critical marine communication in the Turku archipelago. Björkqvist, J., Lund, W., Soloviev, V., Tuulos, K. & Suominen, K., 2018, Åbo Akademi University. 17 p. https://research.abo.fi/en/publications/building-and-operating-a-uhf-band-test-network-for-providing-miss

IoT at Sea. Nybom, K., Lund, W., Lafond, S., Lilius, J., Björkqvist, J., Suominen, K. & Tuulos, K., 2018, 2018 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB). IEEE, p. 1–7 7 p. https://research.abo.fi/en/publications/iot-at-sea

Theses

Application of a Distributed Software System on an Autonomous Maritime Vehicle, Brushane, F. 2021. https://urn.fi/URN:NBN:fi-fe2021052131189 

Development of autonomous navigation systems for maritime applications, Storbacka, M. 2021. https://urn.fi/URN:NBN:fi-fe2021092046683 

Reglersystem förkurs och hastighet för autonomtfartyg, Fröjdö, L. 2021. (Bachelor’s thesis)

Learning Maritime Surface Ship Navigation by Imitation Learning, Landais, C. (INSA Double degree), 202. https://urn.fi/URN:NBN:fi-fe2021061738661 

Identifying Risk-Prone Behaviour of Sea Farers by Using Explainable AI, Fouqué, N. (INSA Double degree), 2021. https://urn.fi/URN:NBN:fi-fe2021061537406 

Learning Maritime Surface Ship Navigation by Reinforcement Learning: with a focus on designing the framework and collecting the input set, Nyberg, R.  (ongoing)

Integration of ML models in the 3D simulation environment AISimLive, Aarnio J. (ongoing)

Learning autonomous maritime navigation with offline reinforcement learning and marine traffic data. Westerlund, J. 2021. https://urn.fi/URN:NBN:fi-fe2021060734637 

A simulator for evaluating machine-learning algorithms for autonomous ships, Hupponen, K. 2020. https://urn.fi/URN:NBN:fi-fe2020051536912 

COLREG compliant collision avoidance using reinforcement learning, Penttinen, S. 2020.  https://urn.fi/URN:NBN:fi-fe2020051335451 

Fuzzy logic and unmanned surface vehicles : Implementing collision avoidance in Python, Aura, E. 2018. https://urn.fi/URN:NBN:fi-fe2018082734177 

Object detection using LIDAR in maritime scenarios. Wessman, M. 2018. https://urn.fi/URN:NBN:fi-fe2018051824225 

Reports

Rapport de stage technicien long: System Developer (Développeur système), Vettoretti. E. 2021. ESIGELEC (ERASMUS Internship report)

Stage technicien long: Åboat, boat project. Branchu, M. 2021. ESIGELEC. (ERASMUS Internship report)