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Enhancing WiFi Fingerprinting with Visual Clues

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Wireless Indoor Localization

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Abstract

Pioneer efforts to improve WiFi-based localization have resorted to motion-assisted or peer-assisted localization. They neither work in real time nor work without the help of peer users, which introduces extra costs and constraints, and thus degrades their practicality. To get over these limitations, an image-assisted localization system, named Argus, is introduced for mobile devices. The basic idea of Argus is to extract geometric constraints from crowdsourced photos, and to reduce fingerprint ambiguity by mapping the constraints jointly against the fingerprint space. This chapter describes techniques to offer such an image-assisted localization scheme.

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Notes

  1. 1.

    Argus is a giant with 100 eyes in Greek mythology.

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Authors and Affiliations

  1. University of Maryland, College Park, Maryland, USA

    Chenshu Wu

  2. School of Software, Tsinghua University, Beijing, China

    Zheng Yang & Yunhao Liu

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  2. Zheng Yang
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  3. Yunhao Liu
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Wu, C., Yang, Z., Liu, Y. (2018). Enhancing WiFi Fingerprinting with Visual Clues. In: Wireless Indoor Localization. Springer, Singapore. https://doi.org/10.1007/978-981-13-0356-2_8

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  • DOI: https://doi.org/10.1007/978-981-13-0356-2_8

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-0355-5

  • Online ISBN: 978-981-13-0356-2

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