Wifi Localization with Gaussian Processes

author: Brian Ferris, University of Washington
published: Feb. 25, 2007,   recorded: June 2006,   views: 6629

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Estimating the location of a mobile device from wireless signal strength is an interesting research problem, especially given the complexity of signal propagation through space in the presence of obstacles such as buildings, walls, or people. Gaussian processes have already been used to solve such signal strength localization problems. We extend this work to indoor WiFi localization and present novel kernel functions which increase the accuracy of the Gaussian process model, especially when faced with sparse training data. We additionally present preliminary results of simultaneous mapping and localization using Gaussian process latent variable modeling.

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Reviews and comments:

Comment1 milo van riel, December 13, 2008 at 3:01 p.m.:

Dear Sir,

I liked very much your presentation about tracking over WIFI. Is this put already in sales? Do you have products which are commercial ready in software or hardware?

thank you very much for the feedback.

Milo Van Riel

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