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http://dx.doi.org/10.15683/kosdi.2021.9.30.521

A Study on Indoor Positioning based on Pedestrian Dead Reckoning Using Inertial Measurement Unit  

Lee, Jeongpyo (Electronic Engineering Department, Kwangwoon University)
Park, Kyung-Eun (Electronic Engineering Department, Kwangwoon University)
Kim, Youngok (Electronic Engineering Department, Kwangwoon University)
Publication Information
Journal of the Society of Disaster Information / v.17, no.3, 2021 , pp. 521-534 More about this Journal
Abstract
Purpose: In this paper, we propose an indoor positioning scheme based on pedestrian dead reckoning using inertial measurement unit. By minimizing the effects of the orientation error of smart-phone, the more accurate estimation for the direction, the step count, and the stride can be achieved. Method: The effectiveness and the performance of the proposed scheme is evaluated by experiments, and it is compared with the conventional scheme in the same conditions. Result: The results showed that the positioning error of the proposed scheme was 0.76m, while that of the conventional scheme was 1.84m. Conclusion: Sine most people carry his/her own smart-phone, the proposed scheme can be helpful to recognize where he/she was and was heading when the fast evacuation is needed in indoors.
Keywords
Positioning; PDR; IMU Sensor; Smart-phone;
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1 Beauregard, S., Haas, H. (2006). "Pedestrian dead reckoning: A basis for personal positioning." Proceeding of the 3rd Workshop on Positioning, Navigation and Communication (WPNC '06), Hannover, Germany, pp. 27-35.
2 Bisio, I., Cerruti, M., Lavagetto, F., Marchese, M., Pastorino, M., Randazzo, A., Sciarrone, A. (2014). "A trainingless wifi fingerprint positioning approach over mobile devices." IEEE Antennas and Wireless Propagation Letters, Vol. 13, pp. 832-835.   DOI
3 Deak, G., Curran, K., Condell, J. (2012). "A survey of active and passive indoor localisation systems." Computer Communications, Vol. 35, pp. 1939-1954.   DOI
4 Fischer, C., Gellersen, H. (2009). "Location and navigation support for emergency responders: A survey." Pervasive Computing, IEEE, Vol. 9, No. 1, pp. 1536-1268.
5 Harle, R. (2013). "A survey of indoor inertial positioning systems for pedestrians." IEEE Communications Survey & Tutorials, Vol. 15, No. 3, pp. 1281-1293.   DOI
6 Valenti, R.G., Dryanovski, I., Xiao, J. (2015). "Keeping a good attitude: A quaternion-based orientation filter for IMUs and MARGs." Sensors, Vol.15, No.8, pp. 19302-19330.   DOI
7 Kim, N., Jo, U., Yun, K., Jeon, H., Kim, Y. (2015). "A hybrid positioning scheme exploiting sensors and RSS of Wi-Fi signals." Wireless Personal Communications, Vol. 85, No. 3, pp. 1111-1121.   DOI
8 Kuutti, S., Fallah, S., Katsaros, K., Dianati, M., Mccullough, F., Mouzakitis, A. (2018). "A survey of the state-ofthe-art localization techniques and their potentials for autonomous vehicle applications." IEEE Internet of Things Journal, Vol. 5, No. 2, pp. 829-846.   DOI
9 Talvitie, J., Sydanheimo, L., Lohan, E., Ukkonen, L. (2015). "Hybrid WLAN-RFID indoor localization solution utilizing textile tag." IEEE Antennas and Wireless Propagation Letters, Vol. 14, pp. 1358-1361.   DOI
10 Zhou, B., Kim, N., Kim, Y., (2016). "A passive indoor tracking scheme with geometrical formulation." IEEE Antennas and Wireless Propagation Letters, Vol. 15, pp. 1815-1818.   DOI
11 Villania, V., Pini, F., Leali, F., Secchi, C. (2018). "Survey on human - robot collaboration in industrial settings: Safety, intuitive interfaces and applications." Mechatronics, Vol. 55, pp. 248-266.   DOI
12 Park, S., Lee, J.H., Park, C.G. (2021). "Robust pedestrian dead reckoning for multiple poses in smartphones." in IEEE Access, Vol. 9, pp. 54498-54508.   DOI