dSPACE Teams Up with AWS for Natural Language AI Testing

The automotive industry is on the brink of a major breakthrough in autonomous vehicle testing thanks to the collaboration between dSPACE and the AWS Generative AI Innovation Center. This partnership has led to the development of a cutting-edge scenario generation feature that will revolutionize SIL/HIL testing and data-driven development within the dSPACE portfolio.

Utilizing a large language model (LLM) on Amazon Bedrock and retrieval-augmented generation (RAG) architecture, this new feature leverages scenario data provided by dSPACE to enable users to effortlessly create a wide range of complex and realistic scenarios. By simply entering a textual scenario description, automotive manufacturers and suppliers can now generate a multitude of scenarios, including edge cases in line with the ASAM OpenSCENARIO standard.

"dSPACE is an AWS Automotive Competency Partner, and through this initiative, we are introducing innovative capabilities in scenario generation for autonomous vehicle validation. With the power of generative AI technologies, we are empowering our customers to develop safer and more reliable autonomous vehicles by creating diverse simulation scenarios," explains André Rolfsmeier, Director of Strategic Product Management at dSPACE.

The integration of generative AI technologies into dSPACE products, in collaboration with AWS, is paving the way for more efficient and comprehensive validation pipelines. This advancement is set to significantly enhance the safety and reliability of autonomous vehicles, marking a pivotal moment in the evolution of automotive technology.

These groundbreaking capabilities will be unveiled to the public for the first time at the upcoming AWS Automotive Symposium in Munich, showcasing the immense potential of AI-driven scenario generation in transforming the landscape of autonomous vehicle testing and validation.