ASAM is hosting a proposal workshop on
Sep 11, 2025 to to start the discussion on
a new standardized, machine-readable data
format for storing and exchanging quality metrics
for Simulation frameworks and models, incl.
use-case–specific weightings to highlight task-
relevant features.
Diego Sanchez
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. Vehicle dynamics models are a rare exception, with established quality criteria documented. At the same time, the market for Simulation solutions in ADAS/AD development is broad and diverse, making it difficult for users to identify the right tools for their needs or compare them objectively. This proposal aims to close that gap by defining a standardized, machine-readable data format for describing tool offerings and requirements, supported by an agreed set of quality metrics.
The goal of this workshop 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.
The discussion shall include:
The project shall also address how compliance with existing standards of ASAM and other organizations (e.g. Modelica) contribute to quality of
Simulation frameworks and models. A key aspect will be the exchangeability of data, libraries, and other assets between tools.
ASAM is hosting a proposal workshop on
Sep 11, 2025 to to start the discussion on
a new standardized, machine-readable data
format for storing and exchanging quality metrics
for Simulation frameworks and models, incl.
use-case–specific weightings to highlight task-
relevant features.
Diego Sanchez