A Framework for Surface Vessel Nautical-Behaviour Analysis towards Cognitive Situation Awareness

16 pages•Published: July 12, 2024

Ghassan Al-Falouji, Lukas Haschke, Dirk Nowotka and Sven Tomforde

Abstract

The rapidly advancing technological development allows for increased automation of traffic behaviour, including nautical systems. Innovative technologies for cognitive situa- tion modelling form the basis for an autonomous assessment of environmental conditions, which can then be used to realise autonomous navigation behaviour. Cutting-edge vehi- cles designed for autonomous operations are currently in development, demonstrating the capability to operate seamlessly even in busily frequented harbour areas and waterways. In this article, we present a novel framework for analysing the spatio-temporal nautical behaviour of maritime surface vessels. In a scenario, we assess and analyse navigation data gathered from the Kiel Fjord as part of a demonstration use case. The presented frame- work integrates a variety of different approaches and thus represents the basic technology for assessing and modelling ship behaviour prior to operational use, as well as detecting anomalous events during utilisation.

Keyphrases: behaviour analysis, cognitive situation management, digital shadow, generative modelling, maritime traffic analysis, situational awareness, traffic flow

In: Kenneth Baclawski, Michael Kozak, Kirstie Bellman, Giuseppe D'Aniello, Alicia Ruvinsky and Candida Da Silva Ferreira Barreto (editors). Proceedings of Conference on Cognitive and Computational Aspects of Situation Management 2023, vol 102, pages 199-214.

Links:	https://easychair.org/publications/paper/5Tlf
	https://doi.org/10.29007/wqmz

BibTeX entry

@inproceedings{CogSIMA2023:Framework_Surface_Vessel_Nautical,
  author    = {Ghassan Al-Falouji and Lukas Haschke and Dirk Nowotka and Sven Tomforde},
  title     = {A Framework for Surface Vessel Nautical-Behaviour Analysis towards Cognitive Situation Awareness},
  booktitle = {Proceedings of Conference on Cognitive and Computational Aspects of Situation Management 2023},
  editor    = {Kenneth Baclawski and Michael Kozak and Kirstie Bellman and Giuseppe D'Aniello and Alicia Ruvinsky and Candida Da Silva Ferreira Barreto},
  series    = {EPiC Series in Computing},
  volume    = {102},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2398-7340},
  url       = {/publications/paper/5Tlf},
  doi       = {10.29007/wqmz},
  pages     = {199-214},
  year      = {2024}}

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