Wifi Localization with Gaussian Processes
author: Brian Ferris,
University of Washington
published: Feb. 25, 2007, recorded: June 2006, views: 6629
published: Feb. 25, 2007, recorded: June 2006, views: 6629
Related content
Report a problem or upload files
If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Description
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.
Link this page
Would you like to put a link to this lecture on your homepage?Go ahead! Copy the HTML snippet !
Reviews and comments:
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
+32479326590
Write your own review or comment: