Browse DORAS
Browse Theses
Search
Latest Additions
Creative Commons License
Except where otherwise noted, content on this site is licensed for use under a:

Indoor localisation based on fusing WLAN and image data

Redzic, Milan and Brennan, Conor and O'Connor, Noel E. (2011) Indoor localisation based on fusing WLAN and image data. In: IEEE International Conference on Indoor Positioning and Indoor Navigation (IPIN), 21-23 Sept 2011, Guimaraes, Portugal.

Full text available as:

[img]
Preview
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
1949Kb

Abstract

In this paper we address the automatic identification of indoor locations using a combination of WLAN and image sensing. We demonstrate the effectiveness of combining the strengths of these two complementary modalities for very chal- lenging data. We describe a fusion approach that allows localising to a specific office within a building to a high degree of precision or to a location within that office with reasonable precision. As it can be orientated towards the needs and capabilities of a user based on context the method becomes useful for ambient assisted living applications.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:wireless communications; WLAN 802.11; Naive Bayes; SURF vocabulary tree; fusion
Subjects:Computer Science > Computer engineering
Computer Science > Algorithms
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Electronic Engineering
Research Initiatives and Centres > CLARITY: The Centre for Sensor Web Technologies
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland
ID Code:16547
Deposited On:07 Oct 2011 11:33 by Hyowon Lee. Last Modified 07 Oct 2011 11:33

Download statistics

Archive Staff Only: edit this record