Conference item
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 rapidly deployable inertial magneto-inductive (MI) localisation system. It localises monitored workers using a single MI transmitter and inertial measurement units with minimal setup effort. However, MI location estimates can be distorted and ambiguous. To solve this problem, we suggest a novel method to use MI devices for sensing environmental distortions, and use these to correctly close inertial loops. By applying robust simultaneous localisation and mapping (SLAM), our proposed localisation method achieves excellent tracking accuracy, and can improve performance significantly compared with only using an inertial measurement unit (IMU) and MI device for localisation.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Access Document
- Files:
-
-
(Preview, Accepted manuscript, pdf, 2.0MB, Terms of use)
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- Publisher copy:
- 10.1109/ICRA.2018.8460804
Authors
- 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:
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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
Terms of use
- Copyright holder:
- IEEE
- Copyright date:
- 2018
- Notes:
- Copyright © 2018 IEEE. This is the accepted manuscript version of the article. The final version is available online from IEEE at: https://doi.org/10.1109/ICRA.2018.8460804
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