Two Different Approaches for Augmented GPS Pedestrian Navigation
作者： Quentin Ladetto , Vincent Gabaglio , Bertrand Merminod
DOI:
关键词: Dead reckoning 、 Azimuth 、 Kalman filter 、 Geography 、 Artificial intelligence 、 Computer vision 、 Global Positioning System 、 Wind triangle 、 Inertial navigation system 、 GPS/INS 、 Inertial measurement unit
摘要: This paper present the calibration of different models used for pedestrian navigation. Information on travelled distance and azimuth sensed by inertial sensors is merged with GPS observation through Kalman filtering. All use positions without differential corrections to calibrate systematic errors in sensors.
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