Journal article
Deep neural network based inertial odometry using low-cost inertial measurement units
- Abstract:
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Inertial measurement units (IMUs) have emerged as an essential component in many of today's indoor navigation solutions due to their low cost and ease of use. However, despite many attempts for reducing the error growth of navigation systems based on commercial-grade inertial sensors, there is still no satisfactory solution that produces navigation estimates with long-time stability in widely differing conditions. This paper proposes to break the cycle of continuous integration used in tradit...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Accepted manuscript, 6.1MB)
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- Publisher copy:
- 10.1109/tmc.2019.2960780
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Authors
Bibliographic Details
- Publisher:
- Institute of Electrical and Electronics Engineers (IEEE) Publisher's website
- Journal:
- IEEE Transactions on Mobile Computing Journal website
- Pages:
- 1-1
- Publication date:
- 2019-12-19
- DOI:
- EISSN:
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1558-0660
- ISSN:
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1536-1233
Item Description
- Keywords:
- Pubs id:
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1088273
- Local pid:
- pubs:1088273
- Deposit date:
- 2020-02-20
Terms of use
- Copyright holder:
- IEEE
- Copyright date:
- 2019
- Rights statement:
- © 2019 IEEE
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