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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 DesignerDesign driving scenarios, configure sensors, and generate synthetic data
Bird's-Eye ScopeVisualize sensor coverages, detections, and tracks

Blocks

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Scenario ReaderRead driving scenario into model
Vehicle To WorldConvert actors from ego vehicle coordinates to world coordinates
World To VehicleConvert actors from world coordinates to ego vehicle coordinates
Cuboid To 3D SimulationConvert actor from cuboid coordinates to 3D simulation coordinates
Radar Detection GeneratorCreate detection objects from radar measurements
Vision Detection GeneratorDetect objects and lanes from visual measurements
Lidar Point Cloud GeneratorGenerate lidar point cloud data for driving scenario
Detection ConcatenationCombine 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.