**Particle filters** comprise a broad family of **Sequential Monte Carlo** (SMC) algorithms for approximate inference in partially observable Markov chains. The objective of a particle filter is to estimate the posterior density of the state variables given the observation variables. A generic particle filter estimates the posterior distribution of the hidden states using the observation measurement process.

### Continental AG

### Continental Teves AG

### Georg-August-Universität

### National Research Nuclear University MEPhI