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Conference Paper
Develop and Evaluate of Intelligent Autonomous-ship Framework
- Authors
- Kyeong Deok Moon, Chi Yoon Jeong, Moo Seop Kim, Yun Kyung Park, Kwangil Lee
- Issue Date
- 2020-11
- Citation
- International Conference on Maritime Autonomous Surface Ship (ICMASS) 2020, pp.1-7
- Language
- English
- Type
- Conference Paper
- 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.
- KSP Keywords
- Learning Technology, deep learning(DL)
This work is distributed under the term of Creative Commons License (CCL)
(CC BY)
(CC BY)
