Abstract
This paper presents a novel solution using smartphone inertial sensors for pedestrian navigation application. Pedestrian dead reckoning (PDR), which determines the relative location of a pedestrian without the need for additional infrastructure assistance, is utilized to locate pedestrians in our work. A robust step detection technique leaves out the preprocessing of raw signal and reduces complex computation. Since the estimation model is related to different walking modes, a stride length estimation algorithm using a linear combination of step frequency and acceleration variance is developed. Heading determination is carried out by detecting the gravity crossings of acceleration, which is effective to infer the heading form smartphone’s yaw angle. The experimental results indicate that the displacement is estimated with 1.79 % error of distance travelled in the best situation and 3.86 % in the worst situation.
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Qian, J., Ma, J., Ying, R., Liu, P. (2013). RPNOS: Reliable Pedestrian Navigation on a Smartphone. In: Bian, F., Xie, Y., Cui, X., Zeng, Y. (eds) Geo-Informatics in Resource Management and Sustainable Ecosystem. Communications in Computer and Information Science, vol 398. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45025-9_21
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DOI: https://doi.org/10.1007/978-3-642-45025-9_21
Publisher Name: Springer, Berlin, Heidelberg
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