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This paper presents a hybrid pedestrian navigation algorithm based on investigation of different combinations of pedestrian dead-reckoning (PDR), WiFi fingerprinting, and magnetic matching (MM). A multilevel quality-control mechanism is developed based on the interaction between different techniques. The algorithms were evaluated by walking in two indoor environments, with two smartphones, and under...
This paper outlines an indoor navigation algorithm that uses multiple kinds of sensors and technologies, such as 9-axis sensors (i.e., 3D gyros, accelerometers, and magnetometers), WiFi, and magnetic matching. The corresponding real-time software on smartphones includes modules such attitude determination and gyro bias estimation, pedestrian dead-reckoning (PDR), WiFi positioning, and magnetic matching...
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