Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B2, 509-514, 2016
https://doi.org/10.5194/isprs-archives-XLI-B2-509-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
08 Jun 2016
EFFICIENT AND ACCURATE INDOOR LOCALIZATION USING LANDMARK GRAPHS
F. Gu1, A. Kealy1, K. Khoshelham1, and J. Shang2 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.
Conference paper (PDF, 987 KB)


Citation: Gu, F., Kealy, A., Khoshelham, K., and Shang, J.: EFFICIENT AND ACCURATE INDOOR LOCALIZATION USING LANDMARK GRAPHS, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B2, 509-514, https://doi.org/10.5194/isprs-archives-XLI-B2-509-2016, 2016.

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