The Particle Filter based Fast SLAM

Date:

source code
demo 1 / demo 2 / demo 3 / demo 4

  1. Implemented the filter-based 2D SLAM, used IMU data for prediction, Laser-scan data for update, and particle filter for state converge as well as 2D log-odds map optimization.
  2. All data were collected on a ground-walkder robot.