Vehicle Path Tracking Using Model Predictive Control | MATLAB and Simulink Racing Lounge

 Learn how to implement model predictive control for path tracking and the steps needed to control the path of an autonomous vehicle. Create waypoints using the Driving Scenario Designer app and build a path-tracking model in Simulink® using Automated Driving Toolbox™ and Vehicle Dynamics Blockset™. See how you can visualize and compare the vehicle’s trajectory in 2D, 3D, and bird’s-eye-view. Discover how to simulate a three-degrees-of-freedom (3DOF) vehicle driving on a virtual US Highway.

You can find the example models used in this video here: https://bit.ly/3tjrndg

- See example of creating a driving scenario and generating synthetic sensor data: https://bit.ly/3qA8Yr5

- Watch videos about model predictive control (8 videos): https://bit.ly/3JniyVl

- Learn about automated driving using model predictive control: https://bit.ly/3tkA0Va

- Watch videos about using Unreal Engine with Simulink (4 videos): https://bit.ly/3CSn8c0

- Watch additional tutorials: https://bit.ly/3CXaLv5