Bayesian filtering for location estimation
University of Washington · Intel (United States) · +1 more institution
Indexed incrossref
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.
Citation impact
705
total citations
- FWCI
- 35.14
- Percentile
- 100%
- References
- 24
Citations per year
Authors
5Topics & keywords
Topics
Keywords
- Computer science
- Recursive Bayesian estimation
- Sensor fusion
- Bayesian probability
- Bayes' theorem
- Artificial intelligence
- Estimation
- Data mining
No related works found for this paper.