The DOI matches its OpenAlex record; 100 of the 100 references it cites were found in a registry or an index.
Sigma-Point Kalman Filters for Probabilistic Inference in Dynamic State-Space Models
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Cites
Gradient-based learning applied to document recognition
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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
Neural Networks: A Comprehensive Foundation
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A Computational Approach to Edge Detection
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Cited by
Stanley: The robot that won the DARPA Grand Challenge
Thrun, S., Montemerlo, M., Dahlkamp, H., Stavens, D., Aron, A., Diebel, J., Fong, P., Gale, J., Halpenny, M., Hoffmann, G., et al. (2006) · Journal of Field Robotics · doi:10.1002/rob.20147 · Cited by 2,237
Sun, F., Hu, X., Zou, Y., & Li, S. (2011) · Energy · doi:10.1016/j.energy.2011.03.059 · Cited by 614
van der Merwe, R., Wan, E., & Julier, S. (2004) · AIAA Guidance, Navigation, and Control Conference and Exhibit · doi:10.2514/6.2004-5120 · Cited by 465
Filtered multitensor tractography
Malcolm, J. G., Shenton, M. E., & Rathi, Y. (2010) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2010.2048121 · Cited by 247
Advances in intelligent and autonomous navigation systems for small UAS
Bijjahalli, S., Sabatini, R., & Gardi, A. (2020) · Progress in Aerospace Sciences · doi:10.1016/j.paerosci.2020.100617 · Cited by 123
Metadata
- Authors
- van der Merwe, R.
- Published
- 2004-01-01
- OpenAlex
- W1520710862
- Cited by
- 1,017
- References
- 100
- FWCI
- 31.86
- Type
- journal article
- Language
- en
- Open access
- green
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- van der Merwe, R. (2004). Sigma-Point Kalman Filters for Probabilistic Inference in Dynamic State-Space Models. https://doi.org/10.6083/m4z60kz5
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.