Pedestrian Dead Reckoning: A Basis for Personal Positioning
نویسندگان
چکیده
Generic indoor personal positioning with an accuracy better than 10m error is still a challenging research issue. It is well known that the key to solving this problem is the combination of different positioning techniques. In this paper, a combined approach of pedestrian dead reckoning (PDR) and GPS positioning is followed. An acceleration sensor provides signals with which a neural network is trained in order to make step length predictions for relative indoor positioning. An experimental system is developed and the obtained results show that the accumulated error over a 4km walk is approximately only 2%. Indoor PDR positioning results are also described.
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تاریخ انتشار 2006