Title :
Federated DyKnow, a distributed information fusion system for collaborative UAVs
Author :
Heintz, Fredrik ; Doherty, Patrick
Author_Institution :
Dept. of Comput. & Inf. Sci., Linkoping Univ., Linköping, Sweden
Abstract :
As unmanned aerial vehicle (UAV) applications are becoming more complex and covering larger physical areas there is an increasing need for multiple UAVs to cooperatively solve problems. To produce more complete and accurate information about the environment we present the DyKnow Federation framework for distributed fusion among collaborative UAVs. A federation is created and maintained using a multi-agent delegation framework which allows high-level specification and reasoning about resource bounded cooperative problem solving. When the federation is set up, local information is transparently shared between the agents according to specification. The work is presented in the context of a multi-UAV traffic monitoring scenario.
Keywords :
air traffic; aircraft control; control engineering computing; distributed control; groupware; mobile robots; monitoring; multi-agent systems; remotely operated vehicles; sensor fusion; DyKnow Federation; collaborative UAV; distributed information fusion system; multi-UAV traffic monitoring; multi-agent delegation; unmanned aerial vehicle; Delay; Logic gates; Monitoring; Semantics; Sensors; Unmanned aerial vehicles; Distributed information fusion; autonomous systems; multi-agent systems;
Conference_Titel :
Control Automation Robotics & Vision (ICARCV), 2010 11th International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-7814-9
DOI :
10.1109/ICARCV.2010.5707967