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iMag: Accurate and rapidly deployable inertial magneto-inductive localisation

Abstract:

Localisation is of importance for many applications. Our motivating scenarios are short-term construction work and emergency rescue. Not only is accuracy necessary, these scenarios also require rapid setup and robustness to environmental conditions. These requirements preclude the use of many traditional methods e.g. vision-based, laser-based, Ultra-wide band (UWB) and Global Positioning System (GPS)-based localisation systems. To solve these challenges, we introduce iMag, an accurate and rap...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1109/ICRA.2018.8460804

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Institution:
University of Oxford
Division:
MPLS Division
Department:
Computer Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Oxford college:
Kellogg College
Role:
Author
Publisher:
IEEE
Host title:
2018 IEEE International Conference on Robotics and Automation (ICRA)
Journal:
IEEE International Conference on Robotics and Automation (ICRA 2018) More from this journal
Pages:
99-106
Publication date:
2018-09-13
Acceptance date:
2018-01-12
DOI:
ISSN:
2577-087X
ISBN:
9781538630815
Keywords:
Pubs id:
pubs:827796
UUID:
uuid:f3bc4d3e-d89e-4569-b7dc-26994e721b9d
Local pid:
pubs:827796
Source identifiers:
827796
Deposit date:
2018-03-05

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