A tripartite filter design for seamless pedestrian
navigation using recursive 2-means clustering
and Tukey update

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A tripartite filter design for seamless pedestrian navigation using recursive 2-means clustering and Tukey update

Mobile devices are desired to guide users seamlessly to diverse destinations indoors and outdoors. The positioning fixing subsystems often provide poor quality measurements with gaps in an urban environment. No single position fixing technology works continuously. Many sensor fusion variations have...

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Bibliographic Details
Main Authors:	Peltola, Pekka, Xiao, Jialin, Hill, Chris, Moore, Terry, Seco, Fernando, Jiménez, Antonio R.
Format:	Conference or Workshop Item
Published:	2018
Subjects:	tripartite; modular; pedestrian navigation; Kalman; particle; filter; clustering; Tukey; adaptive
Online Access:	https://eprints.nottingham.ac.uk/51826/

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