Artificial Intelligence for Communications and Networks. Second EAI International Conference, AICON 2020, Virtual Event, December 19-20, 2020, Proceedings

Research Article

Indoor Map Construction Method Based on Geomagnetic Signals and Smartphones

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  • @INPROCEEDINGS{10.1007/978-3-030-69066-3_4,
        author={Min Zhao and Danyang Qin and Ruolin Guo and Xinxin Wang},
        title={Indoor Map Construction Method Based on Geomagnetic Signals and Smartphones},
        proceedings={Artificial Intelligence for Communications and Networks. Second EAI International Conference, AICON 2020, Virtual Event, December 19-20, 2020, Proceedings},
        proceedings_a={AICON},
        year={2021},
        month={7},
        keywords={Indoor map construction Geomagnetic signals Smartphones Affinity propagation algorithm Hierarchical clustering},
        doi={10.1007/978-3-030-69066-3_4}
    }
    
  • Min Zhao
    Danyang Qin
    Ruolin Guo
    Xinxin Wang
    Year: 2021
    Indoor Map Construction Method Based on Geomagnetic Signals and Smartphones
    AICON
    Springer
    DOI: 10.1007/978-3-030-69066-3_4
Min Zhao1, Danyang Qin1, Ruolin Guo1, Xinxin Wang1
  • 1: Heilongjiang University

Abstract

Indoor map construction techniques based on geomagnetic signals can achieve better effects for constructing indoor maps, because indoor geomagnetic signals are uniquely representative. An Indoor Map Construction Method based on Geomagnetic Signals and Smartphones (IMC-GSS) is proposed. The magnetic trajectory data are collected through smartphones and crowdsourcing technology, the Dynamic Time Warping (DTW) is utilized to cluster the obtained magnetic trajectory data, and the trajectory fusion technology based on the affinity propagation algorithm is applied to fuse the trajectories belonging to the same cluster in the magnetic trajectory domain to obtain a relatively accurate indoor path. The experimental results show that constructed indoor fingerprint map is reliable as well as effective.