Abstract
The Autonomous Ship(AS) is a dream ship which navigates the sea on its own without any captains or crews. Many related studies on AS and the advent of deep learning technologies enable ASs voyage in the near future. They have been focused on proposing and verifying feasibility of their concept. However, there have not been little tried to compare results of ASs to that of captains. In this paper, we propose an Intelligent Autonomous-Ship Framework(IASF) which enables to develop ASs based on deep-learning while supporting fundamental functions necessary for ASs such as collecting navigational information, recognizing navigational status, and controlling route. The IASF-based AS was evaluated through simulation with compared to results of captains.
Export citation and abstract BibTeX RIS
Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.