Positioning accuracy is a challenging issue for location-based applications using a low-cost global positioning system (GPS). This\npaper presents an effective approach to improving the positioning accuracy of a low-cost GPS receiver for real-time navigation. The\nproposed method precisely estimates position by combining vehicle movement direction, velocity averaging, and distance between\nwaypoints using coordinate data (latitude, longitude, time, and velocity) of the GPS receiver. The previously estimated precious\nreference point, coordinate translation, and invalid data check also improve accuracy. In order to evaluate the performance of\nthe proposed method, we conducted an experiment using a GARMIN GPS 19xHVS receiver attached to a car and used Google\nMaps to plot the processed data.The proposed method achieved improvement of 4ââ?¬â??10 meters in several experiments. In addition,\nwe compared the proposed approach with two other state-of-the-art methods: recursive averaging and ARMA interpolation.The\nexperimental results showthat the proposed approach outperforms other state-of-the-art methods in terms of positioning accuracy.
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