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16:17 Video length is 16:17.
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Vehicle Path Tracking Using Model Predictive Control

From the series: Improving Your Racecar Development

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://github.com/mathworks/vehicle-model-predictive-control

Related Products

  • Simulink
  • Automated Driving Toolbox
  • Model Predictive Control Toolbox
  • Vehicle Dynamics Blockset

See example of creating a driving scenario and generating synthetic sensor data
Watch videos about model predictive control (8 videos)
Learn about automated driving using model predictive control
Watch videos about using Unreal Engine with Simulink (4 videos)

Bridging Wireless Communications Design and Testing with MATLAB

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