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This paper presents a novel smartphone-based indoor localization system that integrates an infrastructure-based acoustic localization system with inertial sensor-based dead reckoning. A fuzzy inference system is developed to achieve a short-term high accuracy tracking by using inertial sensors. The acoustic positioning and the inertial sensor-based dead reckoning are then fused by a Kalman filter...
This paper presents a novel indoor localization solution using a smart phone. Instead of building the inertial measurement unit (IMU), the integrated calibrated sensors inside the smart phone provide all the sensor information needed. Meanwhile, we avoid the complicated calibration process, when the calibration machines or workstations are not available. Since smart phones are meant to be held in...
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