Dual-sensor fusion for indoor user localisation

Authors:
Milan Redzic;Conor Brennan;Noel E. O'Connor
Affiliations:
Dublin City University, Dublin, Ireland;Dublin City University, Dublin, Ireland;Dublin City University, Dublin, Ireland
Venue:
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Year:
2011

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Abstract

In this paper we address the automatic identification of indoor locations using a combination of WLAN and image sensing. Our motivation is the increasing prevalence of wearable cameras, some of which can also capture WLAN data. We propose to use image-based and WLAN-based localization 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 approach in a range of ambient assisted living applications.