The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
A new approach for filtering nonlinear systems
Abstract
In this paper we describe a new recursive linear estimator for filtering systems with nonlinear process and observation models. This method uses a new parameterisation of the mean and covariance which can be transformed directly by the system equations to give predictions of the transformed mean and covariance. We show that this technique is more accurate and far easier to implement than an extended Kalman filter. Specifically, we present empirical results for the application of the new filter to the highly nonlinear kinematics of maneuvering vehicles.
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Citations
Cites
A new method for the nonlinear transformation of means and covariances in filters and estimators
Julier, S., Uhlmann, J., & Durrant-Whyte, H. F. (2000) · IEEE Transactions on Automatic Control · doi:10.1109/9.847726 · Cited by 3,735
Self-citationStochastic models, estimation, and control
(1982) · Mathematics in Science and Engineering · doi:10.1016/s0076-5392(08)x6186-7 · Cited by 3,229
Bar‐Shalom, Y. (1988) · Medical Entomology and Zoology · Cited by 3,157
Bar-Shalom, Y., Fortmann, T. E., & Cable, P. G. (1990) · The Journal of the Acoustical Society of America · doi:10.1121/1.398863 · Cited by 3,070
Cited by
Kalman Filtering and Neural Networks
(2001) · Wiley eBooks · doi:10.1002/0471221546 · Cited by 2,386
Applied Stochastic Differential Equations
Särkkä, S., & Solin, A. (2019) · doi:10.1017/9781108186735 · Cited by 326
Nonlinear Constraint Network Optimization for Efficient Map Learning
Grisetti, G., Stachniss, C., & Burgard, W. (2009) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2009.2026444 · Cited by 222
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
Adaptive Sensor Fault Detection and Isolation using Unscented Kalman Filter for Vehicle Positioning
Mori, D., Sugiura, H., & Hattori, Y. (2019) · 2019 IEEE Intelligent Transportation Systems Conference (ITSC) · doi:10.1109/itsc.2019.8917208 · Cited by 23
Metadata
- Authors
- Julier, S. J., Uhlmann, J. K., & Durrant-Whyte, H. F.
- Venue
- Proceedings of 1995 American Control Conference - ACC'95
- Publisher
- American Autom Control Council
- Published
- 2005-08-24
- Volume
- 3
- Pages
- 1628-1632
- ISSN
- 0743-1619 (ISSN-L)
- OpenAlex
- W2137043637
- Cited by
- 1,926
- References
- 4
- FWCI
- 61.53
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: A new approach for filtering nonlinear systems. https://app.cochat.ai/papers/10.1109/acc.1995.529783
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- Julier, S. J., Uhlmann, J. K., & Durrant-Whyte, H. F. (2005). A new approach for filtering nonlinear systems. Proceedings of 1995 American Control Conference - ACC'95. https://doi.org/10.1109/acc.1995.529783
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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