The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Covariance consistency methods for fault-tolerant distributed data fusion
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Citations
Cites
A New Approach to Linear Filtering and Prediction Problems
Kalman, R. E. (1960) · Journal of Basic Engineering · doi:10.1115/1.3662552 · Cited by 31,751
An algorithm for tracking multiple targets
Reid, D. (1979) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1979.1102177 · Cited by 3,059
(2007) · doi:10.1007/978-3-540-71559-7 · Cited by 780
(2001) · doi:10.1201/9781420038545 · Cited by 397
Cited by
Multisensor data fusion: A review of the state-of-the-art
Khaleghi, B., Khamis, A., Karray, F. O., & Razavi, S. N. (2013) · Information Fusion · doi:10.1016/j.inffus.2011.08.001 · Cited by 2,074
A Review of Data Fusion Techniques
Castanedo, F. (2013) · The Scientific World Journal · doi:10.1155/2013/704504 · Cited by 1,027
Data Fusion and IoT for Smart Ubiquitous Environments: A Survey
Alam, F., Mehmood, R., Katib, I., Albogami, N. N., & Albeshri, A. (2017) · IEEE Access · doi:10.1109/access.2017.2697839 · Cited by 386
Approaches to Multisensor Data Fusion in Target Tracking: A Survey
Smith, D., & Singh, S. (2006) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2006.183 · Cited by 379
A survey of data fusion in smart city applications
Lau, B. P. L., Marakkalage, S. H., Zhou, Y., Hassan, N. U., Yuen, C., Zhang, M., & Tan, U.-X. (2019) · Information Fusion · doi:10.1016/j.inffus.2019.05.004 · Cited by 320
Metadata
- Authors
- Uhlmann, J. K.
- Venue
- Information Fusion
- Publisher
- Elsevier BV
- Published
- 2003-09
- Volume
- 4
- Issue
- 3
- Pages
- 201-215
- ISSN
- 1566-2535 (ISSN-L)
- OpenAlex
- W2095323263
- Cited by
- 207
- References
- 4
- FWCI
- 3.18
- Type
- journal article
- Language
- en
- Open access
- closed
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- Uhlmann, J. K. (2003). Covariance consistency methods for fault-tolerant distributed data fusion. Information Fusion. https://doi.org/10.1016/s1566-2535(03)00036-8
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.