dSPACE and MathWorks have expanded their partnership to streamline traffic simulation using open standards. Developers of autonomous driving applications can now use road models created in RoadRunner directly in ASM OpenX, the latest generation of dSPACE traffic models, improving efficiency and reducing development time.
“By combining the ASM OpenX with RoadRunner as a powerful road editor, we enable our customers to simulate traffic scenarios much more efficiently and cost-effectively on a wide variety of road models and thus in a very broad range of operational design domains (ODDs),” said Thorsten Püschl, product manager at dSPACE. “In close coordination with MathWorks, we have created a seamless and practical solution.”
ASM OpenX is the latest generation of dSPACE traffic models, built natively on the OpenScenario and OpenDrive standards. Unlike previous ASM models, this eliminates error-prone, time-consuming conversions of scenarios and road models, reducing manual rework and making simulation workflows simpler, more robust and more efficient.
Püschl explained that RoadRunner is an interactive editor with programmatic APIs for creating detailed road models, 3D scenes and driving scenarios, supporting the OpenDrive and OpenScenario standards. It allows efficient customization and, according to comprehensive evaluations, serves as an ideal complement to ASM OpenX, particularly for providing road models in OpenDrive format.
“Our collaboration with dSPACE reflects a shared commitment to accelerating innovation in autonomous vehicle development,” added Peter Fryscak, product manager, MathWorks. “Integrating RoadRunner and ASM OpenX empowers engineers to work more efficiently with open standards and deliver safer, more reliable automated driving technologies.”
Developers of autonomous driving applications can now use road models created in RoadRunner directly in ASM OpenX, the latest generation of dSPACE traffic models, improving efficiency and reducing development time.
In related news, dSPACE and OmniVision have partnered to improve sensor simulation