Indoor Positioning Using Efficient Map Matching, RSS Measurements, and an Improved Motion Model

@article{Zampella2015IndoorPU,
  title={Indoor Positioning Using Efficient Map Matching, RSS Measurements, and an Improved Motion Model},
  author={Francisco Zampella and Antonio Ram{\'o}n Jim{\'e}nez Ruiz and Fernando Seco Granja},
  journal={IEEE Transactions on Vehicular Technology},
  year={2015},
  volume={64},
  pages={1304-1317}
}
Unlike outdoor positioning, there is no unique solution to obtain the position of a person inside a building or in Global Navigation Satellite System (GNSS)-denied areas. Typical implementations indoor rely on dead reckoning or beacon-based positioning, but a robust estimation must combine several techniques to overcome their own drawbacks. In this paper, we present an indoor positioning system based on foot-mounted pedestrian dead reckoning (PDR) with an efficient map matching, received signal… CONTINUE READING

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