Neural Network Aided Factor Graph Optimization for Collaborative Pedestrian Navigation

Neural Network Aided Factor Graph Optimization for Collaborative Pedestrian Navigation
Indoor navigation and positioning services for pedestrians are challenging because of the lack of satellite signals and the unpredictability of pedestrian motion. The inertial measurement unit (IMU)-based pedestrian dead reckoning (PDR) algorithm can provide continuous position estimation for individual pedestrians. However, the accumulation of errors leads to inaccurate pedestrian position results.....

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