Machine Learning for Indoor Localization and Navigation
While GPS is the de-facto solution for outdoor positioning with a clear sky view, there is no prevailing technology for GPS-deprived areas, including dense city centers, urban canyons, buildings and other covered structures, and subterranean facilities such as underground mines, where GPS signals ar...
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| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
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Springer International Publishing : Imprint: Springer,
2023.
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| Ausgabe: | 1st ed. 2023. |
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| Online-Zugang: | https://doi.org/10.1007/978-3-031-26712-3 |
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Inhaltsangabe:
- Introduction to Indoor Localization and its Challenges
- Advanced Pattern-Matching Techniques for Indoor Localization
- Machine Learning Approaches for Resilience to Device Heterogeneity
- Enabling Temporal Variation Resilience for ML based Indoor Localization
- Deploying Indoor Localization Frameworks for Resource Constrained Devices
- Securing Indoor Localization Frameworks.