Manoeuvring multitarget tracking method in cluttered environment
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Publication:3489925
DOI10.1080/00207729008910565zbMath0707.93084OpenAlexW2129575049MaRDI QIDQ3489925
No author found.
Publication date: 1990
Published in: International Journal of Systems Science (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207729008910565
cluttered environmentadaptive state estimatorcovariance- matching techniquetracking a manoeuvring multitarget
Adaptive control/observation systems (93C40) Estimation and detection in stochastic control theory (93E10) Stochastic learning and adaptive control (93E35)
Cites Work
- Tracking in a cluttered environment with probabilistic data association
- A Gaussian sum approach to the multi-target identification-tracking problem
- Joint probabilistic data association for multitarget tracking with possibly unresolved measurements and maneuvers
- Optimum tracking of a maneuvering target in clutter
- A branching algorithm for discriminating and tracking multiple objects
- Derivation and evaluation of improved tracking filter for use in dense multitarget environments
- Application of 0-1 integer programming to multitarget tracking problems
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