Autonomous Ship Collision Avoidance Trained on Observational Data-Reference-Cited by-同舟云学术

Autonomous Ship Collision Avoidance Trained on Observational Data

Published:2023 Issue: Volume: Page:296-310
ISSN:0302-9743
Container-title:Architecture of Computing Systems
language:
Short-container-title:

Author:

Schwinger Raphael^ORCID,Al-Falouji Ghassan^ORCID,Tomforde Sven^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-42785-5_20

Reference27 articles.

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2. Felski, A., Jaskólski, K.: The integrity of information received by means of AIS during anti-collision manoeuvring. TransNav: Int. J. Mar. Navig. Saf. Sea Transp. 7(1), 95–100 (2013)

3. Fisch, D., Jänicke, M., Sick, B., Müller-Schloer, C.: Quantitative emergence-a refined approach based on divergence measures. In: 2010 Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems, pp. 94–103. IEEE Computer Society (2010)

4. Henaff, M., Canziani, A., LeCun, Y.: Model-predictive policy learning with uncertainty regularization for driving in dense traffic (2019)

5. Bundesamt für Seeschifffahrt und Hydrographie, B.: German Traffic Regulations for Navigable Maritime Waterways (2022). https://www.bsh.de/DE/PUBLIKATIONEN/Anlagen/Downloads/Nautik_und_Schifffahrt/Seehandbuecher_ueberregional/SeeschStrO_engl.pdf?__blob=publicationFile &v=16. Accessed 3 Oct 2022

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