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International Conference on Intelligent Robotics and Applications

ICIRA 2017: Intelligent Robotics and Applications pp 246–253Cite as

The Integrated Indoor Positioning by Considering Spatial Characteristics

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10464))

Abstract

The indoor localization relies on the IMU sensor on the smartphone because there is no signal like GPS that compensates for location in real time like the outdoor. However, if IMU sensors are not periodically reset, the localization error will increase. Although various methods are suggested, it is difficult to apply it to any indoor location because there are few methods considering the spatial characteristics of the indoor. In this paper, we divided the indoor characteristics into two parts and suggested an integrated system considering the spatial characteristics.

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References

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Acknowledgments

This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (NRF-2016R1A2B1015032)

Author information

Authors and Affiliations

  1. Konkuk University, No. 120 Neungdong-ro, Gwangjin-gu, Room-C320, Engineering Building No. 21, Seoul, 05029, Republic of Korea

    Dongjun Yang & Younggoo Kwon

Authors
  1. Dongjun Yang
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  2. Younggoo Kwon
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Corresponding author

Correspondence to Younggoo Kwon .

Editor information

Editors and Affiliations

  1. School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China

    YongAn Huang

  2. School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China

    Hao Wu

  3. Institute of Industrial Research, University of Portsmouth, Portsmouth, United Kingdom

    Honghai Liu

  4. School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China

    Zhouping Yin

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© 2017 Springer International Publishing AG

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Cite this paper

Yang, D., Kwon, Y. (2017). The Integrated Indoor Positioning by Considering Spatial Characteristics. In: Huang, Y., Wu, H., Liu, H., Yin, Z. (eds) Intelligent Robotics and Applications. ICIRA 2017. Lecture Notes in Computer Science(), vol 10464. Springer, Cham. https://doi.org/10.1007/978-3-319-65298-6_23

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  • DOI: https://doi.org/10.1007/978-3-319-65298-6_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-65297-9

  • Online ISBN: 978-3-319-65298-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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