Scenarios in Simulink

Test ADAS and automated driving systems in Simulink^® using synthetic driving scenarios

To test an advanced driver assistance (ADAS) or automated driving system built in Simulink, you can use synthetic driving scenarios. Create these scenarios in either the Driving Scenario Designer app or by using a drivingScenario object. Then, read the driving scenario into Simulink by using a Scenario Reader block. To visualize the scenario in Simulink, use the Bird's-Eye Scope app.

Apps

Driving Scenario Designer	Design driving scenarios, configure sensors, and generate synthetic data
Bird's-Eye Scope	Visualize sensor coverages, detections, and tracks

Blocks

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Driving Scenarios

Scenario Reader	Read driving scenario into model
Vehicle To World	Convert actors from ego vehicle coordinates to world coordinates
World To Vehicle	Convert actors from world coordinates to ego vehicle coordinates
Cuboid To 3D Simulation	Convert actor from cuboid coordinates to 3D simulation coordinates

Sensors

Radar Detection Generator	Create detection objects from radar measurements
Vision Detection Generator	Detect objects and lanes from visual measurements
Lidar Point Cloud Generator	Generate lidar point cloud data for driving scenario
Detection Concatenation	Combine detection reports from different sensors

Topics

Generate Sensor Detection Blocks Using Driving Scenario Designer

Generate Simulink blocks for a driving scenario and sensors that were built using the Driving Scenario Designer app.

Test Open-Loop ADAS Algorithm Using Driving Scenario

Test open-loop ADAS algorithms in Simulink by using driving scenarios saved from the Driving Scenario Designer app.

Test Closed-Loop ADAS Algorithm Using Driving Scenario

Test closed-loop ADAS algorithms in Simulink by using driving scenarios saved from the Driving Scenario Designer app.

Visualize Sensor Data and Tracks in Bird's-Eye Scope

Visualize sensor coverages, detections, and tracks from a Simulink model.

Visualize Sensor Data from Unreal Engine Simulation Environment

Visualize sensor coverage areas and detections obtained from high-fidelity radar and lidar sensors in the Unreal Engine^® simulation environment.

Documentation