Distributed Data Fusion: Neighbors, Rumors, and the Art of Collective Knowledge

IEEE Control Systems Magazine, pp. 83-109, 2016.

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Abstract:

Distributed data fusion (DDF) is the process whereby a group of agents sense their local environment, communicate with other agents, and collectively try to infer knowledge about a particular process. The applications are many and include cooperative robots mapping a room, cooperative unmanned aerial vehicles (UAVs) geolocating a moving o...More

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