Elevate your test and validation activities with real-world scenarios

  • Cost- and time-efficient reuse of available measurement data
  • Exact and consistent reproduction of real-world scenarios in simulation
  • Road generation based on sensor data
  • Generation of logical and replay scenarios for scenario-based testing
  • Real-world scenarios in AURELION (physics-based sensor simulation)
  • Scenarios for SIMPHERA
  • Support of OpenSCENARIO and OpenDRIVE

Use vehicle sensor raw data, object lists, or datasets to generate simulation scenarios that simulate the real world.

Use Cases

Analyze and Debug Disengagements and Critical Situations in the Lab

Problems that occurred during test drives are analyzed in reproducible simulations using scenarios generated from in-vehicle recordings.

 Validation of Driving Functions with Generated Test Scenarios

Enhance the regression tests in your validation process with real-world simulation scenarios that match the Operational Design Domain of your driving function.

 Validating your Simulation

Prove the accuracy of your simulation by comparing simulation data with real-world measurements of the same scenario.

Reducing the unknown risks – Scenario Generation in Data-Driven Development

The successful homologation of functions for automated driving heavily relies on the smart and efficient integration of real-world data into the validation process. As your partner in simulation and validation, dSPACE provides solutions for data-driven development in all stages of the process.

With our solutions for data driven development dSPACE helps to continuously reduce the unknown risks – and hence improve safety – by making experiences from real world test drives accessible in your validation process at scale.

As a key component in the data-driven development process, the scenario generation service provides the basis for simulation-driven homologation, including scenario-based testing and coverage analysis of your Operational Design Domain.

Further Information

Intelligently Setting the Scene

Read our article about ai-based scenario generation from sensor data.

 Scenario Generation

Test and validate your autonomous driving functions with simulatable scenarios taken from the real world.

 Innovation Coffee Break

Elevate your test and validation activities with real-world scenarios.
AURELION AURELION, die neue dSPACE Lösung für sensorrealistische Simulation, bietet leistungsstarke Visualisierungs- und physikalische Berechnungsfunktionen zur Generierung synthetischer Sensordaten in virtuellen Testfahrten. SIMPHERA Die neue webbasierte und skalierbare Cloud-Lösung von dSPACE – damit Simulation und Validierung noch einfacher werden.

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