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A hybrid method for indoor user localisation
Redzic, Milan; Ó Conaire, Ciarán; Brennan, Conor; O'Connor, Noel E.
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.
Keyword(s): Machine learning; Signal processing; Information retrieval; Image processing; SURF; image localisation; image matching; RF localisation; Nokia N95; Gaussian distribution; data fusion
Publication Date:
2009
Type: Other
Peer-Reviewed: Unknown
Language(s): English
Institution: Dublin City University
Citation(s): Redzic, Milan ORCID: 0000-0003-2184-8273 <https://orcid.org/0000-0003-2184-8273>, Ó Conaire, Ciarán, Brennan, Conor ORCID: 0000-0002-0405-3869 <https://orcid.org/0000-0002-0405-3869> and O'Connor, Noel E. ORCID: 0000-0002-4033-9135 <https://orcid.org/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.
File Format(s): application/pdf
Related Link(s): http://doras.dcu.ie/14798/1/hybrid.pdf,
http://info.ee.surrey.ac.uk/CCSR/EuroSSC/2009/index.html
First Indexed: 2009-11-05 02:01:40 Last Updated: 2019-02-09 06:58:18