![]() |
COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring. | ![]() |
University of Cambridge > Talks.cam > Computer Laboratory Wednesday Seminars > Challenges and approaches to improving the accuracy of indoor positioning systems
![]() Challenges and approaches to improving the accuracy of indoor positioning systemsAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Stephen Clark. While GPS has become the de facto standard as an outdoor positioning infrastructure, researchers are still actively working on the problem of indoor positioning. This is an exciting area with many practical applications from indoor navigation to location-based advertising. There are currently three key problems that challenge the adoption and widespread use of indoor positioning systems. 1) non-line-of-sight signal propagation due to the cluttered indoor environment, which corrupts radio distance measurements, and leads to significant position errors; 2) sparsity of reference points, which results in large uncertainty in position estimation; and 3) large spatial variation in the accuracy of location sensors, which is difficult to measure empirically. In this talk, I will report on recent research carried out in the Oxford Sensor Networks Group to address these challenges. First, I will present two distinct approaches to addressing the non-line-of-sight (NLOS) problem, an unsupervised approach, based on the theory of compressed sensing, and a supervised learning approach based on features of the signal distribution. Second, I will show how it is possible to overcome the problem of infrastructure sparsity by exploiting encounters (wireless contacts) between moving nodes. Finally, I will present a novel Expectation Maximization algorithm that can be used to learn the accuracy of different location sensors in different parts of a building, without having to actually measure it empirically. This talk is part of the Computer Laboratory Wednesday Seminars series. This talk is included in these lists:
Note that ex-directory lists are not shown. |
Other listsFriends of Milton Country Park Reading Group on Stochastic Differential Equations Language Acquisition and Processing Research ClusterOther talksThe Knotty Maths of Medicine Putting Feminist New Materialism to work through affective methodologies in early childhood research Colorectal cancer. Part 1. Presentation, Diagnosis and Intervention. Part 2. Cellular signalling networks in colon cancer and the models to study them - a basic research perspective A Bourdiesian analysis of songwriting habitus The DNA oxygenase TET1 in mammalian embryonic development and epigenetic reprogramming The MMHT view of the proton |