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Intelligent autonomous ship navigation using multi-sensor modalities

Wright R.G.

TransNav : International Journal on Marine Navigation and Safety of Sea Transportation

2019

Vol. 13, no. 3

503--510

This paper explores the use of machine learning and deep learning artificial intelligence (AI) techniques as a means to integrate multiple sensor modalities into a cohesive approach to navigation for autonomous ships. Considered is the case of a fully autonomous ship capable of making decisions and determining actions by itself without active supervision on the part of onboard crew or remote human operators. These techniques, when combined with advanced sensor capabilities, have been touted as a means to overcome existing technical and human limitations as unmanned and autonomous ships become operational presently and in upcoming years. Promises of the extraordinary capabilities of these technologies that may even exceed those of crewmembers for decision making under comparable conditions must be tempered with realistic expectations as to their ultimate technical potential, their use in the maritime domain, vulnerabilities that may preclude their safe operation; and methods for development, integration and test. The results of research performed by the author in specific applications of machine learning and AI to shipping are presented citing key factors that must be achieved for certification of these technologies as being suitable for their intended purpose. Recommendations are made for strategies to surmount present limitations in the development, evaluation and deployment of intelligent maritime systems that may accommodate future technological advances. Lessons learned that may be applied to improve safety of navigation for conventional shipping are also provided.

Correlation of Virtual Aids to Navigation to the Physical Environment

Wright R.G., Baldauf M.

TransNav : International Journal on Marine Navigation and Safety of Sea Transportation

2016

Vol. 10, no. 2

287--299

Virtual electronic aids to navigation are being introduced into the present short range aids to navigation system in the form of Automated Information System radio-based aids. Research is also underway into the development of their equivalents for use in regions that feature hostile environments, are poorly charted and lack any infrastructure whatsoever to support traditional or radio navigation aids. Such aids are entirely virtual in nature and exist only as a digital data object that resides within an electronic navigation chart for display to mariners through an Electronic Chart Display and Information System. They are at present experimental in nature, and are not intended to replace existing physical or radio-based aids to navigation. Results of research are described in terms of fulfilling traditional navigation aid functions and the development of new functions that are only possible using virtual aids. Their advantages in design and implementation are highlighted, as are their limitations and shortcomings as compared to present methodologies. Notable, however, is the approach used to overcome limitations and shortcomings by considering attributes of the physical environment to ensure their proper location and display of correct characteristics. Such an approach is unique in the modern world, yet it emulates ancient methods of navigation using known landmarks and terrain features.