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Indoor localisation based on fusing WLAN and image data

Redzic, Milan orcid logoORCID: 0000-0003-2184-8273, Brennan, Conor orcid logoORCID: 0000-0002-0405-3869 and O'Connor, Noel E. orcid logoORCID: 0000-0002-4033-9135 (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.

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.
Metadata
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 Institutes 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 10:33 by Hyowon Lee . Last Modified 26 Sep 2018 12:06
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