DocumentCode :
1468573
Title :
Intelligent Ocean Navigation and Fuzzy-Bayesian Decision/Action Formulation
Author :
Perera, Lokukaluge P. ; Carvalho, Jose P. ; Guedes Soares, Carlos
Author_Institution :
Inst. Super. Tecnico, Tech. Univ. of Lisbon, Lisbon, Portugal
Volume :
37
Issue :
2
fYear :
2012
fDate :
4/1/2012 12:00:00 AM
Firstpage :
204
Lastpage :
219
Abstract :
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.
Keywords :
Bayes methods; collision avoidance; decision making; fuzzy set theory; intelligent control; marine safety; navigation; decision-action execution model; fuzzy Bayesian network; intelligent collision avoidance; intelligent ocean navigation; parallel decision making; sequential action; target vessel collision; Collision avoidance; Decision making; Humans; Marine vehicles; Navigation; Oceans; Trajectory; Bayesian network; fuzzy logic; intelligent transportation; intelligent vehicle control; marine vehicle control; ship collision avoidance;
fLanguage :
English
Journal_Title :
Oceanic Engineering, IEEE Journal of
Publisher :
ieee
ISSN :
0364-9059
Type :
jour
DOI :
10.1109/JOE.2012.2184949
Filename :
6168800
Link To Document :
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