automotive engineers use matlab® and simulink® to design automated driving system functionality.

access these videos, articles, and other resources to learn how matlab and simulink can help you answer these questions:

  • how can we analyze and synthesize data?
  • how can we design and deploy algorithms?
  • how can we integrate and test?

analyze and synthesize scenarios

visualize sensor coverage, detections, and tracks using a bird's eye plot
cuboid driving scenario simulation using the driving scenario designer app (5:09)
3d simulation for automated driving using unreal engine
scenario generation from recorded vehicle data
label videos and images using ground truth labeler (6:04)

perception

perception with computer vision and lidar
sensor fusion and tracking examples

planning and control

design simulate and deploy path planning algorithms using navigation toolbox (1:50)
automated valet parking example
why use mpc? | understanding model predictive control, part 1 (4:50)

integration and testing

integration with robotics operating system (ros)
automate testing for highway lane following

user stories and examples

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