The Great Indoors: The Next Frontier in Location-Based Services
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If you have a question about this talk, please contact Stephen Clark.
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Indoor positioning is an extremely challenging problem since
traditional positioning systems such as GPS either fail completely
indoors or fail to provide the desired level of accuracy. This talk will
discuss multiple sources of information including radio measurements,
sensor data and building maps that can be used for indoor positioning
and describe how probabilistic inference techniques can be used to
combine these to obtain precise indoor location on a smartphone.
This talk is part of the Wednesday Seminars - Department of Computer Science and Technology series.
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