Sensor fusion frameworks based on \emph{dynamic networks}, capable of solving very large navigation and mapping problems in real-time and perform sensor calibration.

Provides methods to perform extended Monte-Carlo simulations of realistic navigation scenarios and to assess statistically the performances of different stochastic models for the navigation sensors.

Implements estimators based on the wavelet moments for efficient and powerful stochastic modeling of time-series.