Title :
Experimental Evaluations on Ship Autonomous Navigation and Collision Avoidance by Intelligent Guidance
Author :
Perera, Lokukaluge P. ; Ferrari, Victor ; Santos, Fernando P. ; Hinostroza, Miguel A. ; Guedes Soares, Carlos
Author_Institution :
Centre for Marine Technol. & Eng., Univ. of Lisbon, Lisbon, Portugal
Abstract :
Experimental evaluations on autonomous navigation and collision avoidance of ship maneuvers by intelligent guidance are presented in this paper. These ship maneuvers are conducted on an experimental setup that consists of a navigation and control platform and a vessel model, in which the mathematical formulation presented is actually implemented. The mathematical formulation of the experimental setup is presented under three main sections: vessel traffic monitoring and information system, collision avoidance system, and vessel control system. The physical system of the experimental setup is presented under two main sections: vessel model and navigation and control platform. The vessel model consists of a scaled ship that has been used in this study. The navigation and control platform has been used to control the vessel model and that has been further divided under two sections: hardware structure and software architecture. Therefore, the physical system has been used to conduct ship maneuvers in autonomous navigation and collision avoidance experiments. Finally, several collision avoidance situations with two vessels are considered in this study. The vessel model is considered as the vessel (i.e., own vessel) that makes collision avoidance decisions/actions and the second vessel (i.e., target vessel) that does not take any collision avoidance actions is simulated. Finally, successful experimental results on several collision avoidance situations with two vessels are also presented in this study.
Keywords :
collision avoidance; mathematical analysis; ships; collision avoidance of ship maneuvers; hardware structure; information system; intelligent guidance; mathematical formulation; scaled ship; ship autonomous navigation; software architecture; vessel control system; vessel model; vessel traffic monitoring; Collision avoidance; Computers; Global Positioning System; Marine vehicles; Mathematical model; Monitoring; Collision avoidance system; decision support system; intelligent guidance; ship collision avoidance; ship collision detection;
Journal_Title :
Oceanic Engineering, IEEE Journal of
DOI :
10.1109/JOE.2014.2304793