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A hybrid method for indoor user localisation

Redzic, Milan orcid logoORCID: 0000-0003-2184-8273, Ó Conaire, Ciarán, Brennan, Conor orcid logoORCID: 0000-0002-0405-3869 and O'Connor, Noel E. orcid logoORCID: 0000-0002-4033-9135 (2009) A hybrid method for indoor user localisation. In: EuroSSC 2009 - 4th European Conference on Smart Sensing and Context, 16-18 Sept 2009, Guildford, UK.

Abstract
In this work we describe an approach to indoor user localisation by combining image-based and RF-based methods and compare this new approach to prior work. This paper details a new algorithm for indoor user localisation, demonstrating more effective user localisation than prior approaches and therefore presents the next step in combining two different technologies for localisation in indoor type environments.
Metadata
Item Type:Conference or Workshop Item (Poster)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:SURF; image localisation; image matching; RF localisation; Nokia N95; Gaussian distribution; data fusion;
Subjects:Computer Science > Machine learning
Engineering > Signal processing
Computer Science > Information retrieval
Computer Science > Image processing
DCU Faculties and Centres:Research Initiatives and Centres > CLARITY: The Centre for Sensor Web Technologies
Official URL:http://info.ee.surrey.ac.uk/CCSR/EuroSSC/2009/inde...
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:14798
Deposited On:10 Aug 2009 10:50 by Ciaran O Conaire . Last Modified 26 Sep 2018 12:13
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