Pedestrian Indoor Autonomous Navigation Algorithm Based on Portable Intelligent Terminal
نویسنده
چکیده
Global navigation satellite system (GNSS) does not suitable for the indoor positioning. Therefore, a pedestrian indoor autonomous navigation algorithm based on inertial sensor is proposed. The pedestrian gait detection and step length estimation are achieved by using the data of accelerometer. The roll, pitch and yaw angle are updated in real time using the cosine matrix. PDR is used to calculate the pedestrian position coordinates. The verification under the intelligent positioning terminal platform indicates that the proposed accuracy of the indoor autonomous navigation algorithm is less than 1.5%, which can be effectively applied in the field of intelligent positioning terminal.
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