Title: Method to Measure and Validate Daily Mobile Phone Distance Traveled
Author(s): Paul McBurney
Published in: Proceedings of the 30th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2017)
September 25 - 29, 2017
Oregon Convention Center
Portland, Oregon
Pages: 521 - 540
Cite this article: McBurney, Paul, "Method to Measure and Validate Daily Mobile Phone Distance Traveled," Proceedings of the 30th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2017), Portland, Oregon, September 2017, pp. 521-540.
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Abstract: Determination of a places visited and the routes between these locations requires batch processing of a large time window of location and sensor data that can have varying availability and accuracy. A process is presented that organizes the location data into static and dynamic regions. The context of each region is independently validated against the sensor data. Kalman filter and SLAM methods are used to improve the accuracy of the regions so that each regions location, route, speed, and distance travelled can be determined more accurately. Sensor data events can then be mapped without requiring constant location determination.