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Image-Based Positioning of Mobile Devices in Indoor Environments

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Multimodal Location Estimation of Videos and Images

Abstract

Indoor positioning allows for many commercially viable applications, such as navigation, behavior and movement tracking, and augmented reality (AR). These applications all require the user’s location and orientation to be reliably estimated. Positioning is noticeably more challenging indoors than outdoors since GPS is typically unavailable in interior environments due to the shielding effect of structures. As a result, much research has been focused on relying on other types of signals, or in our case, images as a basis for positioning.

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Author information

Authors and Affiliations

  1. Department of EECS, UC Berkeley, Berkeley, CA, USA

    Jason Zhi Liang, Nicholas Corso, Eric Turner & Avideh Zakhor

Authors
  1. Jason Zhi Liang
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  2. Nicholas Corso
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  3. Eric Turner
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  4. Avideh Zakhor
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Corresponding author

Correspondence to Jason Zhi Liang .

Editor information

Editors and Affiliations

  1. International Computer Science Institute, Berkeley, California, USA

    Jaeyoung Choi

  2. International Computer Science Institute, Berkeley, California, USA

    Gerald Friedland

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© 2015 Springer International Publishing Switzerland

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Liang, J.Z., Corso, N., Turner, E., Zakhor, A. (2015). Image-Based Positioning of Mobile Devices in Indoor Environments. In: Choi, J., Friedland, G. (eds) Multimodal Location Estimation of Videos and Images. Springer, Cham. https://doi.org/10.1007/978-3-319-09861-6_5

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  • DOI: https://doi.org/10.1007/978-3-319-09861-6_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-09860-9

  • Online ISBN: 978-3-319-09861-6

  • eBook Packages: EngineeringEngineering (R0)

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