Collision Risk Assessment and Forecasting on Maritime Data

Author:

Tritsarolis Andreas1ORCID,Murray Brian2ORCID,Pelekis Nikos3ORCID,Theodoridis Yannis1ORCID

Affiliation:

1. Department of Informatics, University of Piraeus, Piraeus, Greece

2. Department of Energy & Transport, SINTEF Ocean, Trondheim, Norway

3. Department of Statistics & Insurance Science, University of Piraeus, Piraeus, Greece

Funder

Horizon 2020 Framework Programme

Publisher

ACM

Reference44 articles.

1. Maintaining knowledge about temporal intervals

2. Alexander Artikis and Dimitris Zissis . 2021. Guide to Maritime Informatics . Springer New York , 1--333. isbn: 978-3-030-6 1852 -0. Alexander Artikis and Dimitris Zissis. 2021. Guide to Maritime Informatics. Springer New York, 1--333. isbn: 978-3-030-61852-0.

3. Dzmitry Bahdanau Kyunghyun Cho and Yoshua Bengio. 2015. Neural machine translation by jointly learning to align and translate. In ICLR. Dzmitry Bahdanau Kyunghyun Cho and Yoshua Bengio. 2015. Neural machine translation by jointly learning to align and translate. In ICLR.

4. A review on improving the autonomy of unmanned surface vehicles through intelligent collision avoidance manoeuvres

5. A research on AIS-based embedded system for ship collision avoidance

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