The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Bayesian filtering for location estimation
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.
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Cites
A tutorial on hidden Markov models and selected applications in speech recognition
Rabiner, L. R. (1989) · Proceedings of the IEEE · doi:10.1109/5.18626 · Cited by 22,743
Estimation with Applications to Tracking and Navigation: Theory, Algorithms and Software
Bar‐Shalom, Y., Li, X. ‐., & Kirubarajan, T. (2002) · doi:10.1002/0471221279 · Cited by 6,782
Cited by
Nweke, H. F., Teh, Y. W., Mujtaba, G., & Al-garadi, M. A. (2019) · Information Fusion · doi:10.1016/j.inffus.2018.06.002 · Cited by 394
Simultaneous Tracking and Activity Recognition (STAR) Using Many Anonymous, Binary Sensors
Wilson, D. H., & Atkeson, C. (2005) · Lecture Notes in Computer Science · doi:10.1007/11428572_5 · Cited by 314
Metadata
- Authors
- Fox, D., Hightower, J., Liao, L., Schulz, D., & Borriello, G.
- Venue
- IEEE Pervasive Computing
- Published
- 2003-07
- Volume
- 2
- Issue
- 3
- Pages
- 24-33
- ISSN
- 1536-1268 (ISSN-L)
- OpenAlex
- W2155971774
- Cited by
- 711
- References
- 2
- FWCI
- 26.15
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Bayesian filtering for location estimation. https://app.cochat.ai/papers/10.1109/mprv.2003.1228524
- The paper
- Fox, D., Hightower, J., Liao, L., Schulz, D., & Borriello, G. (2003). Bayesian filtering for location estimation. IEEE Pervasive Computing. https://doi.org/10.1109/mprv.2003.1228524
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
