Main Content

Automated Driving Applications

Design and simulate model predictive controllers for automated driving

You can use model predictive control (MPC) in automated driving applications to improve vehicle responsiveness while maintaining passenger comfort and safety. MPC has several features that are useful for automated driving, such as predicting vehicle behavior in the near future and explicitly handling constraints during optimization. For more information, see Automated Driving Using Model Predictive Control.

Blocks

Adaptive Cruise Control SystemSimulate adaptive cruise control using model predictive controller
Lane Keeping Assist SystemSimulate lane-keeping assistance using adaptive model predictive controller
Path Following Control SystemSimulate path-following control using adaptive model predictive controller
Nonlinear MPC ControllerSimulate nonlinear model predictive controllers

Topics

MPC Driving Basics

Automated Driving Using Model Predictive Control

You can design and simulate automated driving systems using MPC controllers.

Adaptive Cruise Control

Adaptive Cruise Control System Using Model Predictive Control

Design an MPC controller that tracks a set velocity and maintains a safe distance from a lead vehicle by adjusting the longitudinal acceleration of an ego vehicle.

Adaptive Cruise Control with Sensor Fusion

Design an adaptive cruise control system that detects a lead vehicle in its environment by combining data from vision and radar sensors.

Lane Keeping Assist

Lane Keeping Assist System Using Model Predictive Control

Design an MPC controller that keeps an ego vehicle traveling along the center of a straight or curved road by adjusting the front steering angle.

Lane Keeping Assist with Lane Detection

Design an MPC-based lane-keeping assist system that uses lane detection and road curvature previewing from the Automated Driving Toolbox™.

Lane Following

Lane Following Using Nonlinear Model Predictive Control

Design a lane-following controller using nonlinear MPC with road curvature previewing.

Lane Following Control with Sensor Fusion and Lane Detection

Design an MPC-based lane-following system that uses lane detection and road curvature previewing from the Automated Driving Toolbox.

Highway Lane Following

Design an MPC-based lane-following system that detects lane and vehicles using a camera system simulated using the Unreal Engine®.

Automate Testing for Highway Lane Following

Automate testing of highway lane-following controller against multiple testing scenarios.

Highway Lane Following with Intelligent Vehicles

Simulate lane following applications that contains intelligent target vehicles that adapt their trajectories based on neighboring vehicles.

Lane Changing

Lane Change Assist Using Nonlinear Model Predictive Control

Design a lane-change controller using a nonlinear MPC controller.

Highway Lane Change

Simulate a lane-changing controller in a highway driving scenario.

Parking

Parking Valet Using Nonlinear Model Predictive Control

Design controller for parking garage valet using nonlinear model predictive control.

Parallel Parking Using Nonlinear Model Predictive Control

Design a parallel parking controller using nonlinear model predictive control.

Parallel Parking Using RRT Planner and MPC Tracking Controller

Automatically parallel park an vehicle by generating a path using the RRT star planner and tracking the trajectory using nonlinear model predictive control.

Featured Examples