The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Extended Object Tracking with Random Hypersurface Models
Abstract
The random hypersurface model (RHM) is introduced for estimating a shape approximation of an extended object in addition to its kinematic state. An RHM represents the spatial extent by means of randomly scaled versions of the shape boundary. In doing so, the shape parameters and the measurements are related via a measurement equation that serves as the basis for a Gaussian state estimator. Specific estimators are derived for elliptic and star-convex shapes.
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Cites
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
Unscented Filtering and Nonlinear Estimation
Julier, S. J., & Uhlmann, J. K. (2004) · Proceedings of the IEEE · doi:10.1109/jproc.2003.823141 · Cited by 6,588
Bayesian approach to extended object and cluster tracking using random matrices
Koch, J. W. (2008) · IEEE Transactions on Aerospace and Electronic Systems · doi:10.1109/taes.2008.4655362 · Cited by 667
Tracking of Extended Objects and Group Targets Using Random Matrices
Feldmann, M., Franken, D., & Koch, W. (2011) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2010.2101064 · Cited by 481
Spatial distribution model for tracking extended objects
Gilholm, K., & Salmond, D. (2005) · IEE Proceedings - Radar, Sonar and Navigation · doi:10.1049/ip-rsn:20045114 · Cited by 307
Poisson models for extended target and group tracking
Gilholm, K., Godsill, S., Maskell, S., & Salmond, D. (2005) · SPIE Proceedings · doi:10.1117/12.618730 · Cited by 278
Motion estimation via dynamic vision
Soatto, S., Frezza, R., & Perona, P. (1996) · IEEE Transactions on Automatic Control · doi:10.1109/9.486640 · Cited by 278
Study and evaluation of different Fourier methods for image retrieval
Zhang, D., & Lu, G. (2005) · Image and Vision Computing · doi:10.1016/j.imavis.2004.09.001 · Cited by 234
Random Hypersurface Models for extended object tracking
Baum, M., & Hanebeck, U. D. (2009) · IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) · doi:10.1109/isspit.2009.5407526 · Cited by 179
Self-citationExtended Object Tracking Using Monte Carlo Methods
Angelova, D. S., & Mihaylova, L. S. (2008) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2007.907851 · Cited by 90
Cited by
Extended Target Tracking Using Gaussian Processes
Wahlstrom, N., & Ozkan, E. (2015) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2015.2424194 · Cited by 295
Metadata
- Authors
- Baum, M., & Hanebeck, U. D.
- Venue
- IEEE Transactions on Aerospace and Electronic Systems
- Published
- 2014-01
- Volume
- 50
- Issue
- 1
- Pages
- 149-159
- ISSN
- 0018-9251 (ISSN-L)
- OpenAlex
- W2007097714
- Cited by
- 272
- References
- 12
- FWCI
- 15.18
- Type
- journal article
- Language
- en
- Open access
- closed
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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).
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