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Random Finite Sets in Stochastic Filtering
1940’s: Wiener filter
Pioneering work by Wiener, Kolmogorov
Particle Filter (1990’s--)
Computational tools for non-linear non-Gaussian filtering
Gordon, Salmond & Smith, Doucet …
The Bayes (nonlinear) Filter
Practical Challenges
Multi-Object Filtering
Random Finite Set
PHD/CPHD Filters & Applications
Conclusions
Miss-distance: error between estimate and true state
measures how close an estimate is to the true value
well-understood for single target: Euclidean distance, MSE, etc
fundamental in estimation/filtering & control
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