A method of personal positioning based on sensor data fusion of wearable camera and self-contained sensors
نویسندگان
چکیده
In this paper, we propose a method of personal positioning that combines images taken from a wearable camera with data from self-contained sensors attached to the user through a Kalman filter as a data integration mechanism. The proposed method estimates the user’s position and direction by image registration between the input images from the camera and a set of images captured at known positions and directions beforehand as a database. It updates the estimation of the user’s position and direction with pedestrian deadreckoning by detecting walking behavior of the user and by estimating the heading direction of the body with the self-contained sensors.
منابع مشابه
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