VTS Distinguished Lecturer Professor Shiwen Mao, from Auburn University, will present new advances in indoor localization using deep learning.
With the fast growing demand of location-based services in indoor environments, indoor positioning based on fingerprinting has attracted a lot of interest due to its high accuracy. In this talk, we present our recent work on using deep learning for fingerprinting based localization where Channel State Information (CSI), such as amplitude and phase information, are exploited for location estimation. Experimental results are presented to confirm that with deep learning and CSI, the proposed system can effectively reduce location error compared with existing methods in representative indoor environments.
Shiwen Mao received his Ph.D. in electrical and computer engineering from Polytechnic University (now Tandon School of Engineering, New York University), Brooklyn, NY in 2004. Currently, he is the Samuel Ginn Professor and Director of Wireless Engineering Research and Education Center (WEREC) at Auburn University, Auburn, AL. His research interests include wireless networks and multimedia communications. He is on the Editorial Board of IEEE Transactions on Multimedia, IEEE Internet of Things Journal, IEEE Multimedia, ACM GetMobile, among others. He is the Chair of IEEE ComSoc Multimedia Communications Technical Committee, and a Distinguished Lecturer of IEEE Vehicular Technology Society.
● Date: October 10, 2017
● Time: 6:00 PM to 7:30 PM
● Location: McGill University
3480 University St.
Building: McConnell Engineering Building
Room Number: 603
For more information, visit https://meetings.vtools.ieee.org/m/46946