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Keyframe based large-scale indoor localisation using geomagnetic field and motion pattern

Abstract:

This paper studies indoor localisation problem by using low-cost and pervasive sensors. Most of existing indoor localisation algorithms rely on camera, laser scanner, floor plan or other pre-installed infrastructure to achieve submeter or sub-centimetre localisation accuracy. However, in some circumstances these required devices or information may be unavailable or too expensive in terms of cost or deployment. This paper presents a novel keyframe based Pose Graph Simultaneous Localisation and...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Accepted manuscript

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Publisher copy:
10.1109/IROS.2016.7759302

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Department:
Oxford, MPLS, Computer Science
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Department:
Oxford, MPLS, Computer Science
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Department:
Oxford, Colleges and Halls, Exeter College
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Department:
Oxford, MPLS, Computer Science
Publisher:
Institute of Electrical and Electronics Engineers Publisher's website
Publication date:
2016-12-05
Acceptance date:
2016-07-01
DOI:
ISSN:
2153-0866
Pubs id:
pubs:637874
URN:
uri:6919d13b-b6cb-44e9-ad20-89819dbd822c
UUID:
6919d13b-b6cb-44e9-ad20-89819dbd822c
Local pid:
pubs:637874

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