A data assimilation experiment with the DALEC ecosystem model

State estimation and filtering algorithms in Go

Experiments for online learning and data assimilation for time series data.

HILO-MPC is a Python toolbox for easy, flexible and fast development of machine-learning-supported optimal control and estimation problems

This project implements grid-based FastSLAM1.0 and FastSLAM2.0 algorithms to solve SLAM problem in a simulated environment.

Simultaneous State Estimation and Dynamics Learning from Indirect Observations.

Hybrid Extended Kalman Filter and Particle Filter. Graded project for the ETH course "Recursive Estimation".

SLAM navigation on simplified scenario (FastSLAM implementation using Python) based on Particle Filter (Sequential Monte Carlo). What happens when the visual support of a drone is missing?

Bayesian Particle Learning models in R

Android applications for SmartPhoneSensing course for indoor localization

Localization in a static map, planning in a local map.

Kidnapped Vehicle (project 6 of 9 from Udacity Self-Driving Car Engineer Nanodegree)

Particle Filter estimators using C++ Multibody Dinamics library Simbody

Correlated pseudo-marginal Metropolis-Hastings using quasi-Newton proposals

Using a 2-dimensional Particle Filter to localize a vehicle

Accelerating Monte Carlo methods for Bayesian inference in dynamical models

Accelerating pseudo-marginal Metropolis-Hastings by correlating auxiliary variables