Abstract
This paper presents MBITP, a novel method for an indoor target prediction through the sensor data which may be the Big Data. To predict target, a probability model is presented. In addition, a real-time error correction technique based on map feature is designed to enhance the estimation accuracy. Based on it, we propose an effective prediction algorithm. The practice evaluation shows that the method introduced in this paper has an acceptable performance in real-time target prediction.
This work is supported in part by the National Natural Science Foundation of China (NSFC) under Grant No.61370222 and No.61070193, Heilongjiang Province Founds for Distinguished Young Scientists under Grant No.JC201104, Technology Innovation of Heilongjiang Educational Committee under grant No.2013TD012, Program for Group of Science Harbin technological innovation found under grant No.2011RFXXG014.
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Xu, B., Li, J. (2015). MBITP: A Map Based Indoor Target Prediction in Smartphone. In: Wang, H., et al. Intelligent Computation in Big Data Era. ICYCSEE 2015. Communications in Computer and Information Science, vol 503. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46248-5_28
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DOI: https://doi.org/10.1007/978-3-662-46248-5_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-46247-8
Online ISBN: 978-3-662-46248-5
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