Modeling Oil-Spill Detection with multirotor systems based on multi-agent systems

Author

Chamoso, Pablo ; Perez, A. ; Rodriguez, Saul ; Corchado, J.M. ; Sempere, Mireia ; Rizo, Ramon ; Aznar, Fidel ; Pujol, Mar

Author_Institution

Comput. & Autom. Control Dept., Univ. of Salamanca, Salamanca, Spain

fYear

2014

fDate

7-10 July 2014

Firstpage

1

Lastpage

8

Abstract

An increase in the frequency of oil spills in the sea, which adversely affects the maritime environment, led to the motivation for this article. Recent advances in technology have now made it possible to provide Unmanned Aerial Vehicles (UAV) systems with great processing capacity. They include all the features of a complete computer, while maintaining a really small size as required by this kind of system. This investigation takes advantage of the functionalities provided by existing MultiAgent Systems (MAS) to accomplish tasks between UAVs. The article presents a case study that uses the capabilities to perform the detection of oil spills.

Keywords

autonomous aerial vehicles; marine pollution; mobile robots; multi-robot systems; oil pollution; telerobotics; MAS; UAV systems; multiagent systems; multirotor systems; oil-spill detection modeling; unmanned aerial vehicles; Computers; Global Positioning System; Multi-agent systems; Organizations; Sensors; Trajectory; Vectors; Agents; Multi-Agent System; Oil-Spill detection; Unmanned Aerial Vehicle; Virtual Organizations;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Fusion (FUSION), 2014 17th International Conference on

Conference_Location

Salamanca

Type

conf

Filename

6916237