Smartphone-Based 3D Indoor Localization and Navigation

During the last century, navigation systems have become ubiquitous and guide drivers, cyclists, and pedestrians towards their desired destinations. While operating worldwide, they rely on line-of-sight conditions towards satellites and are thus limited to outdoor areas. However, finding a gate withi...

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Detalles Bibliográficos
Autor principal: Frank Ebner
Formato: Libro
Publicado: Logos Verlag Berlin 2021
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      sertl: Human Data Understanding: Sensors, Models, Knowledge
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        9783832586232
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        atl: Smartphone-Based 3D Indoor Localization and Navigation
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        au: Frank Ebner
      su:
        Global Positioning System
        Smartphones
        Indoor positioning systems (Wireless localization)
        Wireless localization
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          COMPUTERS / Computer Science
          ARCHITECTURE / General
          MATHEMATICS / General
          TECHNOLOGY & ENGINEERING / General
          Global Positioning System
          Smartphones
          Indoor positioning systems (Wireless localization)
          Wireless localization
      ab: During the last century, navigation systems have become ubiquitous and guide drivers, cyclists, and pedestrians towards their desired destinations. While operating worldwide, they rely on line-of-sight conditions towards satellites and are thus limited to outdoor areas. However, finding a gate within an airport, a ward within a hospital, or a university's auditorium also represent navigation problems. To provide navigation within such indoor environments, new approaches are required. This thesis examines pedestrian 3D indoor localization and navigation using commodity smartphones: A desirable target platform, always at hand and equipped with a multitude of sensors. The IMU (accelerometer, gyroscope, magnetometer) and barometer allow for pedestrian dead reckoning, that is, estimating relative location changes. Absolute whereabouts can be determined via Wi-Fi, an infrastructure present within most public buildings, or by using Bluetooth Low Energy Beacons as inexpensive supplement. The building's 3D floorplan not only enables navigation, but also increases accuracy by preventing impossible movements, and serves as a visual reference for the pedestrian. All aforementioned information is fused by recursive density estimation based on a particle filter. The conducted experiments cover both, theoretical backgrounds and real-world use-cases. All discussed approaches utilize the infrastructure found within most public buildings, are easy to set up, and maintain. Overall, this thesis results in an indoor localization and navigation system that can be easily deployed, without requiring any special hardware components.
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