Inertial-based smart indoor localisation system

نویسندگان

  • Federica Inderst
  • Federica Pascucci
  • Francesca De Cillis
  • Roberto Setola
چکیده

The location-aware technologies are crucial for cyber physical applications. In this contribution, a smart indoor localisation system is proposed: it is able to recognise and track user activities, given the initial pose. The key idea is the well-known prediction-correction approach used in field robotics. To this end, a rough estimate of the user position is formed by exploiting proprioceptive sensors (e.g., inertial measurement unit), thereafter it is refined by data collected from the smart environment (e.g., radio frequency systems).

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تاریخ انتشار 2015