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Consistency Analysis for Data Fusion: Determining When the Unknown Correlation Can Be Ignored

Amirsadri, Ashkan; Bishop, Adrian; Kim, Jonghyuk; Trumpf, Jochen; Petersson, Lars

Description

In this paper we examine the conditions in which data fusion can be performed by neglecting the unmodeled correlation between two information sources without compromising the consistency of the system. More specifically, we explore those situations in whi

CollectionsANU Research Publications
Date published: 2013
Type: Conference paper
URI: http://hdl.handle.net/1885/81246
Source: 2013 International Conference on Control, Automation and Information Sciences, ICCAIS 2013
DOI: 10.1109/ICCAIS.2013.6720537

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