DocumentCode :
3573796
Title :
Research on adjustable autonomy architecture for unmanned surface vehicle
Author :
Ge Yang ; Xinxing Ma ; Rubo Zhang ; Changting Shi
Author_Institution :
Coll. of Comput. Sci. & Technol., Harbin Eng. Univ., Harbin, China
fYear :
2014
Firstpage :
5594
Lastpage :
5599
Abstract :
This paper designed a typical task oriented adjustable autonomy architecture for autonomy control of unmanned surface vehicle (USV). First a two-dimensional classify method of an adjustable autonomy control level is presented, which is applied to the USV system. Then an index system is established for the autonomy control level assessment of USV, which includes the performance of USV, environmental complexity and user status. At the end of this paper the implementation of the architecture is discussed with the example of USV performing an obstacle avoid mission in unknown marine environment.
Keywords :
collision avoidance; marine vehicles; remotely operated vehicles; USV; adjustable autonomy control level; autonomy control level assessment; environmental complexity; index system; obstacle avoid mission; task oriented adjustable autonomy architecture; two-dimensional classify method; unknown marine environment; unmanned surface vehicle; user status; Automation; Computer architecture; Computer science; Educational institutions; Indexes; Intelligent control; Vehicles; adjustable autonomy; autonomy level; autonomy level decision; unmanned surface vehicle(USV);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation (WCICA), 2014 11th World Congress on
Type :
conf
DOI :
10.1109/WCICA.2014.7053672
Filename :
7053672
Link To Document :
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