Projects

The purpose of this project is evaluate the utilization of ASAM MCD-2 MC in the motorcycle industry. Several ASAM members active in the motorcycle industry will collaborate in this project, share their ideas and bring in their requirements. If considered useful, this group will submit requirements for the further development of ASAM MCD-2 MC.

Participating Companies
Honda R&D Co., Ltd Automobile R&D Center, YAMAHA MOTOR CO., LTD., Accurate Technologies Inc., DENSO Corporation, dSPACE GmbH, ETAS GmbH, Keihin Corporation, Vector Informatik GmbH


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As a result of the transfer of OpenDRIVE 1.5 to ASAM, ASAM OpenDRIVE 1.6.0 was released in March 2020. In the Transfer project not all errors and ambiguities could be fixed. After 8 months of being in the field ASAM has received some feedback on ASAM OpenDRIVE 1.6.0. The goal of the project is to clear the ambiguities and fix the found errors in the specification.

Participating Companies
3D Mapping Solutions GmbH, BMW AG, CRUDEN B.V., Daimler AG, dSPACE GmbH, Five, Porsche AG, Vector Informatik GmbH, VIRES Simulationstechnologie GmbH, virtualcitySYSTEMS GmbH, VTI - Swedish National Road and Transport Research Institute, SpringCloud


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ASAM iLinkRT is a High-Speed Automation access protocol for MC-Servers. ASAM iLinkRT V3.0.0. will be released in Nov 2020. Due to the large number of new, supported capabilities and the fact that this protocol is positioned as the successor of ASAP 3, it is expected to be widely used in the market. Any problems, difficulties in understanding and possible ambiguities that may arise shall be solved within this maintenance project. Additional cross tests shall be carried out with real products from participating companies to identify bugs and change requests.

Participating Companies
Arrival Ltd., AVL LIST GMBH, dSPACE GmbH, ETAS GmbH, Kristl, Seibt & Co GmbH, RA Consulting GmbH, Vector Informatik GmbH, We4Data GmbH


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This study project shall examine the relevant use cases for scenario-based testing in more detail with the goal to identify all relevant standards, potential workflows and their variants, and the overall interplay between those parts to form a cohesive whole. This analysis should in the end lead to a documented set of overall use cases for scenario-based testing, a set of potential workflows implementing those, together with identified roles, standards and their application. Additionally any identified gaps in the workflows shall be characterized, leading to the identification of potentially needed additions to existing standards, or even the need for completely new standards. Requirements for those standards or additions shall be collected and documented.

Participating Companies
Advanced Data Controls Corp., Advanced Laboratory on Embedded Systems, AKKA GmbH & Co. KGaA, Altran Deutschland S.A.S.&Co.KG, Applied Intuition Inc., AUDI AG, Automotive Data of China (Tianjin) Co., Ltd, AVL LIST GMBH, BMW AG, BTC Embedded Systems AG, Cognata Ltd., Daimler AG, Deutsches Zentrum für Luft- und Raumfahrt e. V., Driving Simulation Association, dSPACE GmbH, Edge Case Research, emotive GmbH & Co. KG, FEV Software and Testing Solutions GmbH, Foretellix Ltd., HORIBA, iASYS Technology Solutions Pvt. Ltd., Kontrol GmbH, MathWorks, Inc., MicroNova AG, Mindmotiv GmbH, NVIDIA, Opel Automobile GmbH, Peak Solution GmbH, PikeTec GmbH, PMSF IT Consulting Pierre R. Mai, RA Consulting GmbH, Robert Bosch GmbH, Technische Hochschule Köln, TraceTronic GmbH, Vector Informatik GmbH, Vicomtech, VIRES Simulationstechnologie GmbH, WMG University of Warwick, ZF Friedrichshafen AG, AstaZero, Coventry University, imbus, Nardò Technical Center, Spring Cloud, TNO


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The ASAM OpenLABEL Concept work group has developed a concept on how a future standard for labeling objects and scenarios could look like. It covered the aspects labeling methodology, labeling structure and file format. It is now time to convert the concept into a standard.

Participating Companies
Advanced Data Controls Corp., AKKA GmbH & Co. KGaA, Altran Deutschland S.A.S.&Co.KG, Annotell AB, Ansys, Inc., Automotive Data of China (Tianjin) Co., Ltd, Dataloop, Deepen AI, Deutsches Zentrum für Luft- und Raumfahrt e. V., Five, iASYS Technology Solutions Pvt. Ltd., LiangDao GmbH, Peak Solution GmbH, RWTH Aachen, SAIC Motor Corporation Ltd., Tata Consultancy Services Pvt. Ltd, understandAI GmbH, UniqueSec AB, Vicomtech, WMG University of Warwick, AI3DENSORY, Caliber Data Labs, Incenda AI GmbH, Spring Cloud


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