Abstract
A rule based system to provide decision support for the navigators of commercial, ocean going, vessels is described. The decision support is supplied in the form of advice on how best to avoid collision with both other vessels and land based objects. At the same time the system acknowledges the need for commercial vessels to proceed on a predefined passage plan.
The system is founded on a number of KBs representing knowledge about the collision avoidance domain, obtained from international regulations and expert mariners. Important attributes of the system are its real time mode of operation and its ability to take into consideration geographic constraints using a Knowledge Based approach to Geographic Information System (GIS) techniques. Further the system does not require any user interaction, all raw data is supplied by external sensors and from a chart data base.
The current status of the system is in the form of a proto-type. However it is considered that this proto-type is the first in its field. Initial testing in a simulated environment using experienced master mariners has produced encouraging results indicating the potential for the system to become a major aid to navigation and hence a commercially viable product.
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© 1991 Computational Mechanics Publications
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Coenen, F., Smeaton, P. (1991). KBS in Marine Collision Avoidance. In: Rzevski, G., Adey, R.A. (eds) Applications of Artificial Intelligence in Engineering VI. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-3648-8_34
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DOI: https://doi.org/10.1007/978-94-011-3648-8_34
Publisher Name: Springer, Dordrecht
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