Sullivan, Kieran and Pfeifer, Tom (2005) FUSION METHODOLOGIES FOR HETEROGENEOUS DATA SOURCES WITHIN A REDUNDANT POSITIONING ARCHITECTURE. UNSPECIFIED. (Unpublished)
![[thumbnail of Technical Report CMP-020-2005]](https://repository.wit.ie/style/images/fileicons/text.png) |
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: | Other |
|---|---|
| Depositing User: | Laura Widger |
| Date Deposited: | 12 Nov 2007 11:22 |
| Last Modified: | 03 Feb 2023 00:00 |
| URI: | https://repository.wit.ie/id/eprint/881 |
Actions (login required)
 |
View Item |
