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- W2794387002 abstract "Trajectory and transportation mode tracking has always been a hot topic since it can provide valuable information for both personal usage and city development. Smart phones equipped with various kinds of sensors are regarded as good tools to track users' trajectories for convenience. The Global Positioning System (GPS) receiver in smart phones is very useful for location services, however its location results become very inaccurate due to signal blockage and multipath effect in urban area. The Pedestrian Dead Reckoning (PDR) system only uses inertial sensors, however, its accumulation error becomes large as distances increased. In this paper, we propose a method that integrates PDR with a traffic mode based map matching to improve positioning accuracy. We firstly generate the hypothesis trajectory based on the activity detection result from PDR and traffic mode detection. Then the most possible trajectory is estimated by considering the walking length. The experimental result demonstrated that we achieve a 1.16m average positioning error in urban area." @default.
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- W2794387002 date "2017-10-01" @default.
- W2794387002 modified "2023-10-02" @default.
- W2794387002 title "Pedestrian positioning in urban environment by integration of PDR and traffic mode detection" @default.
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- W2794387002 doi "https://doi.org/10.1109/itsc.2017.8317779" @default.
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