Person Localization Using Sensor Information Fusion

Anacleto, Ricardo; Figueiredo, Lino; Almeida, Ana; Novais, Paulo

http://hdl.handle.net/10400.22/5866

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Abstract(s)

Nowadays the incredible grow of mobile devices market led to the need for location-aware applications. However, sometimes person location is difficult to obtain, since most of these devices only have a GPS (Global Positioning System) chip to retrieve location. In order to suppress this limitation and to provide location everywhere (even where a structured environment doesn’t exist) a wearable inertial navigation system is proposed, which is a convenient way to track people in situations where other localization systems fail. The system combines pedestrian dead reckoning with GPS, using widely available, low-cost and low-power hardware components. The system innovation is the information fusion and the use of probabilistic methods to learn persons gait behavior to correct, in real-time, the drift errors given by the sensors.

Keywords

Pedestrian Navigation System Inertial Navigation System Indoor Location GPS Probabilistic Algorithms

URI

http://hdl.handle.net/10400.22/5866

Citation

Anacleto, Ricardo; Figueiredo, Lino; Almeida, Ana; Novais, Paulo. Person Localization Using Sensor Information Fusion, In Ambient Intelligence - Software and Applications, 53-61, ISBN: 978-3-319-07595-2. Cham: Springer International Publishing, 2014.