Projects

The Open Simulation Interface (OSI) is a generic interface for the environmental perception of automated driving functions in virtual scenarios. Its goal is to allow a user to connect any sensor with a standardized interface to any automated driving function and to any driving simulator tooling. Four work packages were identified: Physical sensor modelling (i.e. a better ground truth), Traffic participants & roadside infrastructure, OSI performance and packaging (e.g. improvements for real time), and Harmonization with other OpenX standards. ASAM OSI will be developed opensource.

Participating Companies
ANSYS Inc., 51WORLD High Technology Co.,Ltd., Advanced Data Controls Corp., Automotive Safety Technologies GmbH, AVL LIST GMBH, BMW AG, Connected Places Catapult, Continental AG, Deutsches Zentrum für Luft- und Raumfahrt e. V., dSPACE GmbH, Five AI, FZI Forschungszentrum Informatik, Hochschule für Angewandte Wissenschaften Kempten, Huawei Technologies Co. Ltd., ITK Engineering GmbH, LiangDao GmbH, Mitsubishi Precision Co., Ltd., PMSF IT Consulting Pierre R. Mai, RA Consulting GmbH, RWTH Aachen, Technische Universität Darmstadt, Tencent Dadi Tongtu (Beijing) Technology Co. Ltd., Toyota Motor Corporation, VTI - Swedish National Road and Transport Research Institute, Metamoto, Nihon Unisys, Ltd., Technische Hochschule Ingolstadt, School Judical Person Ikotokugakuen (KAIT)


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This project is a maintenance project and it is not planned, to add new features. Mainly issues, which come up while working with the new files in Big Data Environments, shall be fixed. The ODS checker shall be improved.

Participating Companies
National Instruments Corporation, BMW AG, AVL LIST GMBH, HighQSoft GmbH, HORIBA, iASYS Technology Solutions Pvt. Ltd., Kristl, Seibt & Co GmbH, Müller-BBM VibroAkustik Systeme GmbH, Peak Solution GmbH, RA Consulting GmbH, Siemens AG, Technische Hochschule Köln


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This is phase 1 of the study project ASAM ODS V6.0.1 Use Case Consultation and Resolution Decision. The purpose of this study group is to discuss and resolve OEM use case issues with ASAM ODS. For NVH applications, the storage method has already been discussed by focusing on the dimension of the data. For data other than NVH, there are 1D (1-dimensional), 2D (two-dimensional), and 3D (3-dimensional) data. The study group will try to find solutions on how to store them.

Participating Companies
Hino Motors, Ltd., Honda R&D Co., Ltd Automobile R&D Center, Nissan Motor Co. Ltd., Subaru Corporation, A&D Company, Ltd., AVL LIST GMBH, HORIBA, iASYS Technology Solutions Pvt. Ltd., Meidensha Corporation, National Instruments Corporation, OnoSokki Co., Ltd., Sky Technology Inc., TOYO Corporation


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SCDL (Safety Concept Description Language) is a semi-formal notation to describe ISO 26262 safety architectures, namely safety concepts. This includes safety requirement specifications, element architectures, requirements allocation on elements, ASIL assignments, decompositions for safety mechanisms and others. SCDL as a vendor-independent language targets modeling methods for ISO 26262 by providing intuitive graphical representations and straightforward processes. Tools based on SCDL support the development, design, analysis, and verification of ISO 26262 artefacts. Interoperability and exchangeability of methods and artefacts are provided.

Participating Companies
Hino Motors, Ltd., Subaru Corporation, YAMAHA MOTOR CO., LTD., CATS Co., Ltd., DENSO Corporation, Hitachi Automotive Systems Ltd., GAIO TECHNOLOGY CO.,LTD., Quint Safety GmbH, Toyota Technical Development Corporation, Vector Informatik GmbH, Change Vision, Inc., DNV GL Business Assurance Japan K. K., Ensoleille Co. Ltd., Kozo Keikau Engineerin Inc., Marelli Corp., Veoneer Japan Ltd.


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The idea is to standardize a basic subset of stored scenario metadata (e.g. weather conditions, maneuver types, actors, etc.), with the goal of facilitating the sharing of data within the community. This has the potential to exponentially increase the availability and accessibility of training and validation data for autonomous testing. Data quantity being pretty much the crux of scenario based development or testing.

Participating Companies
Advanced Data Controls Corp., AKKA GmbH & Co. KGaA, ANSYS Inc., Automotive Data of China (Tianjin) Co., Ltd, Connected Places Catapult, Deepen AI, Deutsches Zentrum für Luft- und Raumfahrt e. V., dSPACE GmbH, iASYS Technology Solutions Pvt. Ltd., LiangDao GmbH, Peak Solution GmbH, RA Consulting GmbH, Siemens Digital Industries Software, Vicomtech, WMG University of Warwick, EFS - Elektronische Fahrwerksysteme GmbH, understand.ai


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