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Statistical signatures for self-adaptive sensing

Abstract:

Designing signal processing software is difficult. It is difficult because the world is unpredictable and it is impossible to guarantee software reliability in unforeseen circumstances. Further, it is difficult to anticipate sensor behaviour, as ambient conditions - for example, lighting or weather, can affect the data they output in a multitude of ways. Autonomous, on-line, self-adaptive image processing software is required, that can be adjusted when novel sensing environments are encounter...

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Publication status:
Published

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
Journal:
MFI2001: INTERNATIONAL CONFERENCE ON MULTISENSOR FUSION AND INTEGRATION FOR INTELLIGENT SYSTEMS More from this journal
Pages:
141-146
Publication date:
2001-01-01
Language:
English
Pubs id:
pubs:275986
UUID:
uuid:70830fb2-143b-4e80-93e0-05d1b5e62de9
Local pid:
pubs:275986
Source identifiers:
275986
Deposit date:
2012-12-19

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