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

Dual-sensor fusion for indoor user localisation

Redzic, Milan and Brennan, Conor and O'Connor, Noel E. (2011) Dual-sensor fusion for indoor user localisation. In: ACM Multimedia, 28 Nov - 1 Dec 2011, Scottsdale, AZ..

Full text available as:

[img]
Preview
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
2619Kb

Abstract

In this paper we address the automatic identification of in- door locations using a combination of WLAN and image sensing. Our motivation is the increasing prevalence of wear- able cameras, some of which can also capture WLAN data. We propose to use image-based and WLAN-based localisa- tion individually and then fuse the results to obtain better performance overall. We demonstrate the effectiveness of our fusion algorithm for localisation to within a 8.9m2 room on very challenging data both for WLAN and image-based algorithms. We envisage the potential usefulness of our ap- proach in a range of ambient assisted living applications.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:indoor localisation; WLAN; SURF vocabulary tree; fusion
Subjects:Computer Science > Information technology
Computer Science > Multimedia systems
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:16546
Deposited On:06 Dec 2011 16:30 by Hyowon Lee. Last Modified 06 Dec 2011 16:30

Download statistics

Archive Staff Only: edit this record