The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Survey of maneuvering target tracking. part v: multiple-model methods
Abstract
This is the fifth part of a series of papers that provide a comprehensive survey of techniques for tracking maneuvering targets without addressing the so-called measurement-origin uncertainty. Part I and Part II deal with target motion models. Part III covers measurement models and associated techniques. Part IV is concerned with tracking techniques that are based on decisions regarding target maneuvers. This part surveys the multiple-model methods $the use of multiple models (and filters) simultaneously - which is the prevailing approach to maneuvering target tracking in recent years. The survey is presented in a structured way, centered around three generations of algorithms: autonomous, cooperating, and variable structure. It emphasizes the underpinning of each algorithm and covers various issues in algorithm design, application, and performance.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Maximum Likelihood from Incomplete Data Via the EM Algorithm
Dempster, A. P., Laird, N. M., & Rubin, D. B. (1977) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1977.tb01600.x · Cited by 50,444
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
Self-citationAn introduction to hidden Markov models
Rabiner, L., & Juang, B. (1986) · IEEE ASSP Magazine · doi:10.1109/massp.1986.1165342 · Cited by 4,775
An algorithm for tracking multiple targets
Reid, D. (1979) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1979.1102177 · Cited by 3,059
Cited by
A Review on Kalman Filter Models
Khodarahmi, M., & Maihami, V. (2023) · Archives of Computational Methods in Engineering · doi:10.1007/s11831-022-09815-7 · Cited by 561
Long short-term memory-based deep recurrent neural networks for target tracking
Gao, C., Yan, J., Zhou, S., Varshney, P. K., & Liu, H. (2019) · Information Sciences · doi:10.1016/j.ins.2019.06.039 · Cited by 118
Validation of the Ornstein-Uhlenbeck route propagation model in the Mediterranean Sea
Millefiori, L. M., Pallotta, G., Braca, P., Horn, S., & Bryan, K. (2015) · OCEANS 2015 - Genova · doi:10.1109/oceans-genova.2015.7271565 · Cited by 13
Metadata
- Authors
- Li, X. R., & Jilkov, V. P.
- Venue
- IEEE Transactions on Aerospace and Electronic Systems
- Published
- 2005-10
- Volume
- 41
- Issue
- 4
- Pages
- 1255-1321
- ISSN
- 0018-9251 (ISSN-L)
- OpenAlex
- W2103632679
- Cited by
- 1,157
- References
- 5
- FWCI
- 32.29
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Survey of maneuvering target tracking. part v: multiple-model methods. https://app.cochat.ai/papers/10.1109/taes.2005.1561886
- The paper
- Li, X. R., & Jilkov, V. P. (2005). Survey of maneuvering target tracking. part v: multiple-model methods. IEEE Transactions on Aerospace and Electronic Systems. https://doi.org/10.1109/taes.2005.1561886
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.