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The design of an offline algorithm for smartphone based indoor localization is outlined, discussed and evaluated. The algorithm performs dead reckoning using accelerometer-, compass- and gyroscope data. Accelerometer data is used to detect step events. Compass and gyroscope are used for heading estimation. Drift compensation and step length estimation is performed by a particle filter using map information...
In the field of indoor navigation, inertial measurement units (IMUs) are commonly used to track pedestrians. Unfortunately, in conjunction with dead reckoning localization approaches, the position accuracy is degraded by the accumulation of sensor errors. Most pedestrian dead reckoning systems are therefore adapted to human gait patterns to constraint this error growth. These interventions however...
Indoor localization is a key topic for the Ambient Intelligence (AmI) research community. In this scenarios, recent advancements in wearable technologies, particularly smartwatches with built-in sensors, and personal devices, such as smartphones, are being seen as the breakthrough for making concrete the envisioned Smart Environment (SE) paradigm. In particular, scenarios devoted to indoor localization...
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