Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse m…

These are companion notebooks written in Julia and Python for: "Introduction to Applied Linear Algebra" by Boyd and Vandenberghe.

Python and MATLAB code for linear algebra textbook.

A particle filter to localize a car using LIDAR data

Stereo disparity maps in Python using graph cuts

UCSD ECE 276A Winter 2020 Project 2: Particle Filter SLAM

Localization of a Mobile Robot using an Extended Kalman Filter by fusion of 2D LiDAR data with known associations and Odometry readings.