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Thesis

A Bayesian approach to optimal sensor placement

Abstract:

By "intelligently" locating a sensor with respect to its environment it is possible to minimize the number of sensing operations required to perform many tasks. This is particularly important for sensing media which provide only "sparse" data, such as tactile sensors and sonar. In this thesis, a system is described which uses the principles of statistical decision theory to determine the optimal sensing locations to perform recognition and localization operations. The system uses a Bayesi...

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Institution:
University of Oxford
Division:
MPLS
Role:
Author

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Role:
Supervisor
Role:
Supervisor
Publication date:
1989
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford
Language:
English
Subjects:
UUID:
uuid:ad201132-d418-4ee4-a9d5-3d79bd4876a7
Local pid:
td:603851037
Source identifiers:
603851037
Deposit date:
2014-04-01

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