The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Publications Copernicus
Articles | Volume XLI-B2
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B2, 509–514, 2016
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B2, 509–514, 2016

  08 Jun 2016

08 Jun 2016


F. Gu1, A. Kealy1, K. Khoshelham1, and J. Shang2 F. Gu et al.
  • 1Department of Infrastructure Engineering, University of Melbourne, Melbourne, Australia
  • 2Faculty of Information Engineering, China University of Geosciences, Wuhan, China

Keywords: Indoor Localization, Landmark Graph, Dead Reckoning, Smartphones, Spatial Information

Abstract. Indoor localization is important for a variety of applications such as location-based services, mobile social networks, and emergency response. Fusing spatial information is an effective way to achieve accurate indoor localization with little or with no need for extra hardware. However, existing indoor localization methods that make use of spatial information are either too computationally expensive or too sensitive to the completeness of landmark detection. In this paper, we solve this problem by using the proposed landmark graph. The landmark graph is a directed graph where nodes are landmarks (e.g., doors, staircases, and turns) and edges are accessible paths with heading information. We compared the proposed method with two common Dead Reckoning (DR)-based methods (namely, Compass + Accelerometer + Landmarks and Gyroscope + Accelerometer + Landmarks) by a series of experiments. Experimental results show that the proposed method can achieve 73% accuracy with a positioning error less than 2.5 meters, which outperforms the other two DR-based methods.