Distributed Data Fusion NEIGHBORS, RUMORS, AND THE ART OF COLLECTIVE KNOWLEDGE

被引：43
作者：
Campbell, Mark E. [1 ]
Ahmed, Nisar R. [2 ,3 ]
机构：
[1] Cornell Univ, 105 Upson Hall, Ithaca, NY 14850 USA
[2] Univ Colorado, Aerosp Engn Sci, Boulder, CO 80309 USA
[3] Cornell Autonomous Syst Lab, Ithaca, NY USA
来源：
IEEE CONTROL SYSTEMS MAGAZINE | 2016年 / 36卷 / 04期
基金：
美国国家科学基金会;
关键词：
SOFT DATA FUSION; LOCALIZATION; REPRESENTATION; INFORMATION; FILTER;
D O I：
10.1109/MCS.2016.2558444
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
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 telescopes, and a group of people discussing an interesting issue, either in person or online. © 1991-2012 IEEE.
引用
收藏
页码：83 / 109
页数：27
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