---
res:
  bibo_abstract:
  - 'The ubiquity of WiFi access points and the sharp increase in WiFi-enabled devices
    carried by humans have paved the way for WiFi-based indoor positioning and location
    analysis. Locating people in indoor environments has numerous applications in
    robotics, crowd control, indoor facility optimization, and automated environment
    mapping. However, existing WiFi-based positioning systems suffer from two major
    problems: (1) their accuracy and precision is limited due to inherent noise induced
    by indoor obstacles, and (2) they only occasionally provide location estimates,
    namely when a WiFi-equipped device emits a signal. To mitigate these two issues,
    we propose a novel Gaussian process (GP) model for WiFi signal strength measurements.
    It allows for simultaneous smoothing (increasing accuracy and precision of estimators)
    and interpolation (enabling continuous sampling of location estimates). Furthermore,
    simple and efficient smoothing methods for location estimates are introduced to
    improve localization performance in real-time settings. Experiments are conducted
    on two data sets from a large real-world commercial indoor retail environment.
    Results demonstrate that our approach provides significant improvements in terms
    of precision and accuracy with respect to unfiltered data. Ultimately, the GP
    model realizes continuous location sampling with consistently high quality location
    estimates.@eng'
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: J.E.
      foaf_name: van Engelen, J.E.
      foaf_surname: van Engelen
  - foaf_Person:
      foaf_givenName: J.J.
      foaf_name: van Lier, J.J.
      foaf_surname: van Lier
  - foaf_Person:
      foaf_givenName: F.W.
      foaf_name: Takes, F.W.
      foaf_surname: Takes
  - foaf_Person:
      foaf_givenName: Heike
      foaf_name: Trautmann, Heike
      foaf_surname: Trautmann
      foaf_workInfoHomepage: http://www.librecat.org/personId=100740
    orcid: 0000-0002-9788-8282
  dct_date: 2018^xs_gYear
  dct_language: eng
  dct_publisher: Springer@
  dct_title: Accurate WiFi based indoor positioning with continuous location sampling@
...