Vehicle Path Tracking Using Model Predictive Control

YOUR LINK HERE:

http://youtube.com/watch?v=SzEg_C-XJ14

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. • Example models used in this video: https://github.com/mathworks/vehicle-... • Download Code and Files: https://github.com/mathworks/vehicle-... • Watch additional tutorials: https://bit.ly/3yaFpkv • Learn More: • Understanding Model Predictive Control: • Understanding Model Predictive Control • Automated Parking Valet in Simulink: https://bit.ly/39jgQr4 • Build a Driving Scenario and Generate Synthetic Detections: https://bit.ly/3MvGGpV • Scene Interrogation in 3D Environment: https://bit.ly/3KvuPqN • Automated Driving Using Model Predictive Control: https://bit.ly/3kgOmAi • Using Unreal Engine with Simulink: • Using Unreal Engine with Simulink • Preparing Custom Vehicle Mesh for the Unreal Editor: • Preparing A Custom Vehicle Mesh for t... • -------------------------------------------------------------------------------------------------------- • Get a free product trial: https://goo.gl/ZHFb5u • Learn more about MATLAB: https://goo.gl/8QV7ZZ • Learn more about Simulink: https://goo.gl/nqnbLe • See what's new in MATLAB and Simulink: https://goo.gl/pgGtod • © 2022 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. • See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.

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