Title :
Artificial intelligence for low-crew ships
Author_Institution :
MSN, ENSIETA, Brest, France
Abstract :
An overview of techniques, collectively grouped under the label ´artificial intelligence´, for low-crew or even unmanned ships is given with special focus on navy ships. Knowledge-based systems, machine vision, speech and gesture interpretation, distributed intelligence are discussed with recent research applications worldwide given to illustrate progress and problems in implementing these techniques to ships.
Keywords :
artificial intelligence; knowledge based systems; ships; artificial intelligence; gesture interpretation; knowledge-based systems; low-crew ships; machine vision; navy ships; speech interpretation; unmanned ships; Application software; Artificial intelligence; Automatic control; Automation; Control systems; Intelligent vehicles; Machine intelligence; Machine vision; Maintenance; Marine vehicles;
Conference_Titel :
Oceans 2005 - Europe
Conference_Location :
Brest, France
Print_ISBN :
0-7803-9103-9
DOI :
10.1109/OCEANSE.2005.1511692