Building up an Inertial Navigation System Using Standard Mobile Devices Article Swipe
Marco Gunia
,
Yan Wu
,
Niko Joram
,
Frank Ellinger
·
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.17265/2328-2223/2017.06.003
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.17265/2328-2223/2017.06.003
This paper presents the development of a PNS (Pedestrian Navigation System), which utilizes accelerometer, gyroscope and magnetometer data to enable accurate positioning.Therefore, the sensor basics as well as the mathematics regarding reference frames and coordinate transformations are introduced initially.Particular focus is given to quaternions, since they provide a performance-effective means to execute rotations.In great detail the two distinct approaches for a PNS are introduced, i.e.INS (inertial navigation systems) and PDR (pedestrian dead reckoning).For each, a comparison of state-of-the-art techniques is presented.Special attention is paid to orientation estimation and stance phase detection.Our system combines the most promising techniques and describes improvements, whose usefulness becomes obvious in our experiments.We have applied our PNS in five different test scenarios.For the most complex rectangular-shaped use case, we achieve on average error of 1.66% with regard to the total travelled distance, which is superior to other recent PNS utilizing comparable sensors.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.17265/2328-2223/2017.06.003
- http://www.davidpublisher.org/Public/uploads/Contribute/59fac4d43cf1a.pdf
- OA Status
- hybrid
- Cited By
- 1
- References
- 33
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2770366323
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2770366323Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.17265/2328-2223/2017.06.003Digital Object Identifier
- Title
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Building up an Inertial Navigation System Using Standard Mobile DevicesWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2017Year of publication
- Publication date
-
2017-11-20Full publication date if available
- Authors
-
Marco Gunia, Yan Wu, Niko Joram, Frank EllingerList of authors in order
- Landing page
-
https://doi.org/10.17265/2328-2223/2017.06.003Publisher landing page
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https://www.davidpublisher.org/Public/uploads/Contribute/59fac4d43cf1a.pdfDirect link to full text PDF
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://www.davidpublisher.org/Public/uploads/Contribute/59fac4d43cf1a.pdfDirect OA link when available
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Inertial navigation system, Computer science, Inertial frame of reference, Human–computer interaction, Aeronautics, Engineering, Physics, Classical mechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
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2019: 1Per-year citation counts (last 5 years)
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33Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.utilizing | 143 |
| abstract_inverted_index.Navigation | 9 |
| abstract_inverted_index.approaches | 58 |
| abstract_inverted_index.comparable | 144 |
| abstract_inverted_index.comparison | 75 |
| abstract_inverted_index.coordinate | 34 |
| abstract_inverted_index.estimation | 86 |
| abstract_inverted_index.introduced | 37 |
| abstract_inverted_index.navigation | 66 |
| abstract_inverted_index.techniques | 78, 96 |
| abstract_inverted_index.usefulness | 101 |
| abstract_inverted_index.(Pedestrian | 8 |
| abstract_inverted_index.(pedestrian | 70 |
| abstract_inverted_index.development | 4 |
| abstract_inverted_index.introduced, | 63 |
| abstract_inverted_index.mathematics | 29 |
| abstract_inverted_index.orientation | 85 |
| abstract_inverted_index.magnetometer | 16 |
| abstract_inverted_index.quaternions, | 43 |
| abstract_inverted_index.rotations.In | 52 |
| abstract_inverted_index.detection.Our | 90 |
| abstract_inverted_index.improvements, | 99 |
| abstract_inverted_index.scenarios.For | 115 |
| abstract_inverted_index.accelerometer, | 13 |
| abstract_inverted_index.experiments.We | 106 |
| abstract_inverted_index.reckoning).For | 72 |
| abstract_inverted_index.transformations | 35 |
| abstract_inverted_index.state-of-the-art | 77 |
| abstract_inverted_index.presented.Special | 80 |
| abstract_inverted_index.rectangular-shaped | 119 |
| abstract_inverted_index.initially.Particular | 38 |
| abstract_inverted_index.performance-effective | 48 |
| abstract_inverted_index.positioning.Therefore, | 21 |
| cited_by_percentile_year.max | 94 |
| cited_by_percentile_year.min | 90 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/7 |
| sustainable_development_goals[0].score | 0.7799999713897705 |
| sustainable_development_goals[0].display_name | Affordable and clean energy |
| citation_normalized_percentile.value | 0.79214648 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |