Using Extended Kalman Filter For Robot Pose Estimation

This project consists of a nonlinear two-dimensional robot driving amongst a forest of tubes. The goal of the project was to estimate the position/orientation of the robot throughout its 360m traverse. The technique used to solve this problem utilized the recursive extended Kalman filter to fuse speed measurements coming from wheel odometry with range/bearing measurements coming from a laser rangefinder.