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Path Estimation from Smartphone Sensors

  • Jan Racko
  • Peter BridaEmail author
  • Juraj Machaj
  • Ondrej Krejcar
Chapter
Part of the Studies in Computational Intelligence book series (SCI, volume 769)

Abstract

Nowadays the knowledge about position is very important for localization based services. Thanks to knowing the position many services can be provided, such as information about people in our surrounding, firemen can be navigated during movement while rescue action, or just simply tracking position of different things in buildings. Global Navigation Satellite System (GNSS) was commonly used in outdoor environment, but if we are in a building GNSSs are unusable. This is mainly because of multipath propagation which can cause huge localization errors. Therefore, many research teams have started to develop different systems for location estimation in indoor environment. In this work, we proposed position estimation system based on inertial sensors in smartphone with average accuracy below 0.6 m.

Keywords

Accelerometer Gyroscope Positioning 

Notes

Acknowledgements

This work was partially supported by the Slovak VEGA grant agency, Project No. 1/0263/16 and by project “Smart Solutions for Ubiquitous Computing Environments” FIM, University of Hradec Kralove, Czech Republic (under ID: UHK-FIM-SP-2018).

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.FEE, Department of Multimedia and Information-Communication TechnologiesUniversity of ZilinaZilinaSlovakia
  2. 2.Faculty of Informatics and ManagementUniversity of Hradec KrálovéHradec KrálovéCzech Republic

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