Providing a safety rating for autonomous vehicles is very time-consuming and complex due to the almost limitless number of possible traffic scenarios. The solution for simulation scenario generation developed by dSPACE and understand.ai lets you transfer recordings from real test drives into the simulation and hence perform thousands of tests of safety-critical and realistic driving scenarios with dedicated hardware and software conveniently as a simulation.
The scenario generation service by dSPACE and understand.ai uses real data to achieve realistic simulations.
Ai-based scenario generation from sensor dataDebugging Critical Situations by Replicating Generated Scenarios in the Lab
Problems that occurred during test drives are analyzed in the lab using generated scenarios.Homologation of Driving Functions with Generated Test Scenarios
The homologation of driving functions requires proof of billions of test kilometers. Since real test drives are too expensive and take too long, test scenarios are generated for homologation and used in software-in-the-loop simulation, which is executed faster than in real time.Validating Sensor Models
To be able to validate the perception algorithms by means of simulation, the sensors must be simulated with a high degree of precision and cover all relevant effects of the real simulators.Scenario Generation
Test and validate your autonomous driving functions with simulatable scenarios taken from the real world.
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