night sky, kalman, particle

PF: a header only template library for fast particle filtering!

Assignments for Udacity's Self-Driving Car Engineer Nanodegree

R package for statistical inference using partially observed Markov processes

Implementation of several popular Kalman filter nonlinear variants intended for robotics systems and vehicle state estimation, including Extended Kalman Filter, Unscented Kalman Filter, Error State EKF, Invariant EKF, Square Root EKF, Cubature KF.

Codes for "Rao-Blackwellized particle smoothing for simultaneous localization and mapping"

State estimation, smoothing and parameter estimation using Kalman and particle filters.

⚡ The Mobile Robot Programming Toolkit (MRPT)

We propose a particle MCMC sampler to learn the kinetic parameters of a chemical system, specifically the adsorption and desorption of CO on Pd(111).

glimpse: Glacier Image Particle Sequencer

Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.

SLAM: Position estimation of vehicle and obstacles with Extended-Kalman and Particle filters in Matlab, using the System Identification Toolbox.

Parallel Data Assimilation Framework

Minimal (and lazy) implementations of fundamental algorithms that can be useful for robotics applications

Automated Neuron Reconstruction from 3D Fluorescence Microscopy Images Using Sequential Monte Carlo Estimation

a helper package for pomp

Implementation of advanced Sequential Monte Carlo and particle MCMC algorithms

Sequential Monte Carlo in python

Particle filtering model predictive control simulation.