Projects

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.

Participating Companies
51Sim Computer Systems Co.,Ltd., aiMotive Kft., AUMOVIO Germany GmbH, Ansys, Inc., Automotive Artificial Intelligence (AAI) GmbH, AVL LIST GMBH, Beijing Saimo Technology Co. Ltd., BMW Group, CATARC Automotive Technology (Shanghai) Co. Ltd., Deutsches Zentrum für Luft- und Raumfahrt e.V. DLR, dSPACE GmbH, Foretellix Ltd., Fraunhofer Institut IOSB - für Optronik, Systemtechnik und Bildauswertung IOSB, IAE Suzhou Technologies Co., Ltd., Institut für Kolbenmaschinen (IFKM), KIT, IPG Automotive GmbH, iVH, Mercedes-Benz Group AG, MORAI Inc., NPL Management Ltd., Persival GmbH, PTV Planung Transport Verkehr GmbH, rFpro Limited, RWTH Aachen, RWTH Aachen University, Teaching and Research Area Mechatronics in Mobile Propulsion, Synopsys GmbH, SystemX, Technische Hochschule Ingolstadt, Vayavya Labs Pvt. Ltd., Virtual Vehicle - Das virtuelle Fahrzeug Forschungsgesellschaft mbH, VTI - Swedish National Road and Transport Research Institute


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