DEEP SMARTPHONE SENSORS FUSION FOR INDOOR POSITIONING AND TRACKING

A method of predicting a position of a portable electronic device in an indoor environment from sensor data is disclosed. The method comprises generating at least one absolute position prediction, wherein generating each absolute position prediction is based on radio signal data and/or magnetic field data of the portable electronic device, and generating a displacement prediction, wherein generating the displacement prediction comprises generating, by a neural network, the displacement prediction based on inertial sensor data of the portable electronic device. Generating the absolute position prediction may be repeated at a first rate, and generating the displacement prediction may be repeated at a second rate. The method further comprises determining a predicted position by updating a previously predicted position with at least one of the displacement prediction and the at least one absolute position prediction.