Distributed Data Fusion: Neighbors, Rumors, and the Art of Collective Knowledge
IEEE Control Systems Magazine(2016)
摘要
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 object on the ground, a distributed formation of space telesc...
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关键词
Data fusion,Bayes methods,Sensor systems,Process control,Mathematical model,Gaussian processes
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