Bayesian Filtering for Location Estimation

Dieter Fox, Jeffrey Hightower, Lin Liao, Dirk Schulz, Gaetano Borriello

Abstract: Bayesian-filter techniques provide a powerful statistical tool to help manage measurement uncertainty and perform multisensor fusion and identity estimation. The authors survey Bayes filter implementations and show their application to real-world location-estimation tasks common in pervasive computing.