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Step Trajectory/Indoor Map Feature-based Smartphone Indoor Positioning System without Using Wi-Fi Signals

Wi-Fi 신호를 사용하지 않고 보행자 궤적과 건물내 지도 특성만을 이용한 스마트폰 실내 위치 측정 시스템

  • Received : 2014.08.26
  • Accepted : 2014.10.21
  • Published : 2014.12.31

Abstract

In this paper, we proposed indoor positioning system with improved accuracy. The proposed indoor location measurement system is based pedestrian location measurement method that use the embedded sensor of smartphone. So, we do not need wireless external resources, such as GPS or WiFi signals. The conventional methods measure indoor location by generating a movement route of pedestrian by step and direction recognition. In this paper, to correct the direction sensor error, we use the common feature of the normal indoor floor map that the indoor path is lattice-structured. And we quantize moving directions depending on the direction of indoor path. In addition, we propose moving direction measuring method using geomagnetic sensor and gyro sensor to improve the accuracy. Also, the proposed step detection method uses angle and accelerometer sensors. The proposed step detection method is not affected by the posture of the smartphone. Direction errors caused by direction sensor error is corrected due to proposed moving direction measuring method. The proposed location error correction method corrects location error caused by step detection error without the need for external wireless signal resources.

Keywords

References

  1. J.J. Yoo, Y.S. Cho, "Trends in Technical Development and Standardization of Indoor Location Based Service," Electronics and Telecommunications Trends, Vol. 29, No. 5, pp.51-61, 2014 (in Korean).
  2. S.H. Jeong, H.S. Shin, "The Trend of WPS(WiFi Positioning System & Service)," The Journal of the Korea Institute of Electronic Communication Sciences, Vol. 6, No. 3, pp. 100-105, 2011 (in Korean).
  3. J.W. Song, S.J Hur, Y.W. Park, K.Y. Yoo, "Database Investigation Algorithm for High-Accuracy based Indoor Positioning," Institute of Embedded Engineering of Korea, Vol. 7, No. 2, pp. 85-93, 2012 (in Korean).
  4. J. Suk, H.Y. Kim, "A Study on the location tracking system by using Zigbee in wireless sensor network," The Journal of the Korea Institute of Maritime Information & Communication Sciences, Vol. 14, No. 9, pp. 2120-2126, 2010 (in Korean). https://doi.org/10.6109/jkiice.2010.14.9.2120
  5. S. Lee, B. Kim, H. Kim, R. Ha, H. Cha, "Inertial Sensor-Based Indoor Pedestrian Localization with Minimum 802.15.4a Configuration," IEEE Transactions on Industrial Informatics, Vol. 7, No. 3, pp. 455-466, 2011. https://doi.org/10.1109/TII.2011.2158832
  6. M.G. Gang, "Indoor Localization System Using Smartphone Sensor Information and WiFi RSSI," Master Thesis, Korea Aerospace University, 2013 (in Korean).
  7. H. Wang, S. Sen, A. Elgohary, M. Farid, M. Youssef, R.R. Choudhury, "No Need to War-Drive:Unsupervised Indoor Localization," Proceedings of International Conference on Mobile Systems, Applications, and Services, pp. 197-210, 2012.
  8. G.M. Jang, D.S. Han, "Step Detection and Heading Estimation Using Smart phone Sensor," The Korea Institute of Intelligent Transport Systems, Vol. 2013, No. 2, pp. 108-112, 2013 (in Korean).
  9. H.J Cha, H.J. Shin, G.H. Park, "Method and Apparatus for Tracking User," Korean Patent, 10-1140045, 2012.
  10. Y. Xuan, R. Sengupta, Y. Fallah, "Making Indoor Maps with Portable Accelerometer and Magnetometer," Proceedings of Conference on Ubiquitous Positioning, Indoor Navigation, and Location-Based Service, pp. 1-7, 2010.
  11. http://youtu.be/8JhrfOnMJ8w

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