FUSION METHODOLOGIES FOR HETEROGENEOUS DATA SOURCES WITHIN A REDUNDANT POSITIONING ARCHITECTURE

Sullivan, Kieran and Pfeifer, Tom (2005) FUSION METHODOLOGIES FOR HETEROGENEOUS DATA SOURCES WITHIN A REDUNDANT POSITIONING ARCHITECTURE. Technical Report. Waterford Institute of Technology, Waterford Institute of Technology. (Unpublished)

Text (Technical Report CMP-020-2005) CMP_020-2005.pdf Restricted to Repository staff only Download (277kB)

Abstract

Ubiquitous computing is growing and emerging as an increasingly significant part of our everyday lives. It offers us the chance to work and interact with others in a safer and more efficient manner. Context awareness – knowledgeable of a user’s surrounding environment, used to characterise the situation of the user - will play a substantial role in achieving this. Location is a major part of context but many factors have contrived to prevent the widespread deployment of location-aware technologies outside of a few niche areas. Included here would be coverage, obtrusiveness, cost, low granularity and a lack of reliability. A Redundant Positioning Architecture will go a long way to combating these drawbacks and this research endeavour aims to implement a prototype positioning system based on the principles of this architecture. This articular document introduces data representation & data fusion in regard to a redundant positioning architecture. The many methodologies available to accomplish this representation and fusion are discussed and a canonical example of how one particular approach evaluates information is presented.

Item Type:	Monograph (Technical Report)
Departments or Groups:	Telecommunications Software and Systems Group
Divisions:	School of Science > Department of Computing, Maths and Physics
Depositing User:	Laura Widger
Date Deposited:	12 Nov 2007 11:22
Last Modified:	25 Jun 2021 12:04
URI:	http://repository.wit.ie/id/eprint/881

Actions (login required)

View Item