The Global Positioning System is extensively used in the various context and location service-based applications. Any kind of abnormalities requires an efficient and suitable pre-processing algorithm to be implemented on the data which provides accurate results when used in the application synchronizations. This paper illustrates a framework for various pre-processing techniques applied to the real-time GPS data and its effect on trajectory mapping. The technique used includes Prioritized pattern-based, Savitzky-Golay filtering, outlier elimination, de-trending, and coefficient correlation. The performance assessment of methods discussed in this study is calculated in terms of accuracy with the original and re-created trajectory after the pre-processing and found that the best result is given by moving window method.
CITATION STYLE
R, P., & K G*, M. (2019). PPT-NS: Prioritized Progressive Trend Based Navigational System on GPS data with Artifacts. International Journal of Innovative Technology and Exploring Engineering, 9(2), 621–623. https://doi.org/10.35940/ijitee.b6554.129219
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