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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...
This paper presents a simple, novel inertial sensor based indoor localization system which utilizes distance information between the top of the foot and the ground measured from ultrasonic rangefinder to detect the still-phase of the Zero Velocity Update (ZUPT) method. In this way, the computational consumption of the gyro-based ZUPT detection is avoided and one inertial sensor module is enough to...
This paper presents a modified complementary separate-bias Kalman filter for orientation determination of pedestrian motions by using a inertial measurement unit (IMU) module, which contains gyroscopes, accelerometers and magnetometers as an Attitude and Heading Reference System (AHRS). The filter consists of two main functions: the complementary separate-bias Kalman filtering avoids the modelling...
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