Project Proposals

Not all relevant features could be implemented during the ASAM OpenMATERIAL 1.0.0 standardization project. This project serves to implement important topics that could not be completed within Release 1.0.0.




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High-fidelity sensor simulation is becoming increasingly important for verifying and validating advanced driver assist and automated driving functions. In actual sensor-ECU combinations, communication is bidirectional which means that an ECU may request e.g. specific exposure settings from a camera. This project aims to identify use cases in sensor simulation where control data flows from the data consumer back to the signal generator. The focus will be on sensor types such as camera, radar, LiDAR, and potentially other technologies like ultrasound. Once these use cases are identified, the project group will work to either develop a concept or to enhance ASAM OSI, enabling it to support seamless, high-fidelity sensor simulation.




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ASAM SOVD has established itself as a powerful diagnostic API that can access vehicle data for both diagnostic and all other purposes. ASAM SOVD is particularly helpful for diagnosing and accessing vehicle data in the context of the software-defined vehicle (SDV). After the standard will be successfully transferred to ISO, we will continue the further development. The exact content of what is going to be performed will be discussed at the upcoming content definition workshop taking place on Oct 14 - 15, 2025 as hybrid meeting at Vector Informatik in Stuttgart.




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Trust in virtual homologation relies not only on the transparency of the simulation process, but also on the quality of the underlying models, frameworks, and related tools. While several initiatives and research projects, such as prostep IVIP, INTACS, SetLEVEL, EVIDENT, and HAIViSH, have advanced the discussion on credibility, there remains a critical gap: no standardized metrics exist to assess the quality of simulation frameworks and models, particularly in sensor simulation. The goal of this project is to start the discussion on a new standardized, machine-readable data format for storing and exchanging quality metrics for Simulation frameworks and models. The scope also includes defining an agreed, use-case–specific weighting of the respective metrics to emphasize features relevant to particular tasks.




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We are piloting a new, more agile approach to standards development for the Simulation domain. The proposed process aims to be more open, flexible, transparent and collaborative. The pilot will run until Dec 2025. A subsequent evaluation will determine whether this approach will be adopted for all future standard developments at ASAM.




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