Bayesian filtering for location estimation 论文
2003IEEE Pervasive Computing引用 704
Target Tracking and Data Fusion in Sensor NetworksIndoor and Outdoor Localization TechnologiesDistributed Sensor Networks and Detection Algorithms
摘要
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.