Module 6: Particle Filter
Understanding particle filter algorithms for localization Importance sampling and resampling
Module 5: Lidar Localization
Point cloud processing techniques for lidar localization Point cloud registration
Module 4: Extended Kalman Filter (EKF) and Unscented Kalman Filter (UKF)
Managing nonlinearity using EKF and UKF EKF linearization and Jacobian
Module 3: Kalman Filter (KF)
Understanding the Linear Kalman Filter algorithm State prediction and measurement
Module 2: State Estimation Techniques
Introduction to Bayesian filtering for state estimation Markov process and
Module 1: Introduction to Localization and Coordinate Systems
Importance of localization in autonomous driving Global and local localization
