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In Proceedings of International Conference on Indoor Positioning and Indoor Navigation (IPIN 2010). Improving RFID based indoor positioning accuracy using Gaussian processes. Pedestrian Dead Reckoning can provide motion information at a high update rate and achieve high precision over a short time duration, However, without external aids, the system suffers from local anomalies and cumulative error after positioning for a longer length of time.Many researchers use a step length model combined with direction information to calculate the displacement of indoor pedestrians with accuracy step counting method. In International Journal of Intelligent Systems and Applications in Engineering (IJISAE), 2014, 2(4), (pp. Calculation of displacements of measured accelerations, analysis of two accelerometers and application in road engineering. 41371423;the National Key Research and Development Program of China, No. 武汉大学学报·信息科学版, 2014, 39(6):719-723) [4] Jimenez A R, Seco F, et al.2016YFB0502105; the Natural Science Foundation of Jiangsu Province, No. A Comparison of Pedestrian Dead-Reckoning Algorithms Using a Low-cost MEMS IMU[C].

Velocity and displacement estimations done at the end of the each step have been calculated with and without ZUPT algorithm and the results have been compared.

Research of High-accuracy Pedestrian Navigation Algorithm Based on MEMS Sensor[D].

Xiamen: Xiamen University, 2014(杨辉.基于MEMS传感器的高精度行人导航算法研究[D].

In this paper; the effects of Zero Velocity Update method, which is one of the most important components of indoor inertial positioning systems, on total displacement is studied. Design of an UWB indoor-positioning system for UAV navigation in GNSS-denied environments.

For this purpose, acceleration and angular velocity measurements on three axes are obtained by a low cost foot mounted inertial measurement unit while walking. In Indoor Positioning and Indoor Navigation (IPIN), 2015 International Conference on (pp.

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An accelerometer based approach to measuring displacements of a vehicle body. In Control Conference (CCC), 2015 34th Chinese (pp.

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