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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 .

blocks

simulate adaptive cruise control using model predictive controller
simulate lane-keeping assistance using adaptive model predictive controller
simulate path-following control using adaptive model predictive controller
plan collision-free path from initial pose to target pose

topics

mpc driving basics


  • you can design and simulate automated driving systems using mpc controllers.

adaptive cruise 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.

  • 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


  • 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.

  • design an mpc-based lane-keeping assist system that uses lane detection and road curvature previewing from the automated driving toolbox™.

lane following


  • design a lane-following controller using nonlinear mpc with road curvature previewing.

  • design an mpc-based lane-following system that uses lane detection and road curvature previewing.

  • design an mpc-based lane-following system that detects lane and vehicles using a camera system simulated using the unreal engine®.

  • automate testing of highway lane-following controller against multiple testing scenarios.

  • simulate lane following applications that contain intelligent target vehicles that adapt their trajectories based on neighboring vehicles.

lane changing


  • design a lane-change controller using a nonlinear mpc controller.

  • simulate a lane-changing controller in a highway driving scenario.

parking


  • you can plan a parking path for a vehicle using the vehicle path planner system block.

  • design controller for parking garage valet using nonlinear model predictive control.

  • design a parallel parking controller using nonlinear model predictive control.

  • automatically parallel park a vehicle by generating a path using the rrt star planner and tracking the trajectory using nonlinear model predictive control.
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