Validation engineers in the automated driving and autonomous vehicle domain are tasked to expand their testing process further to the left, also known as front loading, to accelerate time to market as well as balance coverage needs with the cost of test. Software in the Loop (SIL) is one typical method to achieve these requirements, but the infinite perception use cases, the complex workflow, and the gaps in modelling and simulation technology make it challenging to succeed. Requirements include:
- Maximum realism—Increase sensor and simulator fidelity to truly implement front load testing and minimize the dependencies on expensive prototypes.
- Open and validated sensor model—Provide white-box yet trustworthy models to reduce and ultimately avoid the additional burden of model validation.
- Open to third-party toolchains—Preserve existing investments in simulation tools and architectures and connect to best-in-class solutions.
- Cloud and on-premise execution—Maximize and accelerate validation test coverage through thousands of parallel test instances.
- Workflow simplification—Streamline the set-up and execution complexity of the SIL process to allow focus on testing.