Intelligent Ocean Navigation and Fuzzy-Bayesian Decision/Action Formulation

This paper focuses on the formulation of a decision-action execution model that can facilitate intelligent collision avoidance features in ocean navigation systems, while respecting the Convention on the International Regulations for Preventing Collisions at Sea (COLREGs) rules and regulations of co...

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Bibliographic Details
Published in:IEEE journal of oceanic engineering 2012-04, Vol.37 (2), p.204-219
Main Authors: Perera, L. P., Carvalho, J. P., Guedes Soares, C.
Format: Article
Language:English
Subjects:
Bayesian analysis
Bayesian network
Collision avoidance
Control
Conventions
Decision making
fuzzy logic
Humans
intelligent transportation
intelligent vehicle control
Marine
marine vehicle control
Marine vehicles
Mathematical models
Modules
Navigation
Oceans
ship collision avoidance
Trajectory
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Summary:This paper focuses on the formulation of a decision-action execution model that can facilitate intelligent collision avoidance features in ocean navigation systems, while respecting the Convention on the International Regulations for Preventing Collisions at Sea (COLREGs) rules and regulations of collision avoidance. The decision/action process in this work consists of a fuzzy-logic-based parallel decision-making (PDM) module whose decisions are formulated into sequential actions by a Bayesian-network-based module. Therefore, the paper presents a collision avoidance system (CAS) that is capable of making multiple parallel collision avoidance decisions regarding several target vessel collision conditions, and those decisions are executed as sequential actions to avoid complex collision situations in ocean navigation.
ISSN:0364-9059
1558-1691
DOI:10.1109/JOE.2012.2184949