Scalable simulation and validation speeds car development

September 14, 2021 // By Christoph Hammerschmidt
Scalable simulation and validation speeds car development
Development tool simulation company dSpace GmbH is introducing a web-based, scalable cloud platform for simulation and validation tasks in automotive development. Simphera significantly accelerates the computationally intensive validation of functions for autonomous driving. In addition, the platform supports the collaboration of globally distributed development teams and allows the seamless integration of customer applications.

When developing functions for highly automated and autonomous driving, the requirements for functional quality and safety increase enormously. As a result, the test space to be covered is virtually exploding. At the same time, virtual tests are being shifted to earlier and earlier development phases under the keyword "frontloading" and are being carried out by development teams working all over the world. Against this background, dSpace has developed the scalable and web-based solution Simphera, which covers current requirements for performance and ease of use.

Simphera supports developers and protection engineers by providing three solution modules that seamlessly interlock. The first module, "Prepare", provides the user with tools with which he can generate and modify all the artefacts he needs for development or safeguarding tasks. These are, for example, self-developed models that are needed for the development or safeguarding task, such as parameterised vehicles, sensor and environment models or scenarios.

In the "Simulate" module, the prepared models and scenarios are used for interactive simulations. Various visualisation and measurement functions are available to the user for checking the correct behaviour of the algorithms.

The applications of the third module, "Validate", help the user to carry out scenario-based testing on a large scale. Large numbers of concrete test cases can be automatically created from a few logical scenarios by intelligently varying parameters within the scenario. The test cases can then be processed in parallel in the shortest possible time and, if necessary, analysed in detail.

The first release focuses on providing assurance solutions for functions for autonomous driving, scenario-based testing and SIL testing. Reusable models, scenarios, tests and interfaces provide a seamless transition to automated testing on HIL platforms. This supports traceability in troubleshooting, reduces costs and accelerates development and homologation.

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