Adaptive multi-sensor fusion for pedestrian indoor positioning using UCR-DTW, improved CRF, and SAGE-HUSA filtering
Indoor positioning in smart buildings is challenging because satellite signals are obstructed, while inertial navigation methods suffer from sensor noise, magnetic interference, and cumulative errors. This study proposes a high-precision indoor positioning method integrating Pedestrian Dead Reckoning (PDR), map matchin...