Other News
As part of its C-ASAM activities, CATARC has published a book on "Autonomous Driving Scenario Simulation and ASAM OpenX Standard Application"! The book is available in Chinese only.
Read moreTechnical News
ASAM has released a new version of ASAM OSI V3.6.0. ASAM OSI (Open Simulation Interface) provides easy and straightforward compatibility between automated driving functions and the variety of driving Simulation frameworks available. It allows users to connect any sensor, via a standardized interface, to any automated driving function and to any driving simulator tooling
Read moreOrganizational News, Press Release
The standardization organization ASAM e.V., which defines technical standards for the development, testing and Validation of vehicles, and The Autonomous, an initiative by TTTech Auto AG to promote safety as well as risk and cost reduction in the development of autonomous mobility, have signed a Memorandum of Understanding (MoU), thus creating the prerequisites and framework for cooperation.
Read moreOther News, Press Release
In order to support research and development on fully automated driving in railroad operations, the German Center for Rail Transport Research (DZSF) has published the multisensor dataset "Open Sensor Data for Rail 2023", which was created by FusionSystems GmbH on the basis of sensor data from DB Netz AG / "Digitale Schiene Deutschland". The data is intended to help train automated driving functions using machine learning (ML) techniques, thus improving object recognition in railroad environments. It is the first publicly available dataset specifically for rail traffic that has been collected using a variety of sensors. To enable comparability and reusability of the data, the dataset uses the standardized annotation format ASAM OpenLABEL®.
Read moreThe standardization organization ASAM e.V., which defines technical standards for the development, testing and Validation of vehicles, and The Autonomous, an initiative by TTTech Auto AG to promote safety as well as risk and cost reduction in the development of autonomous mobility, have signed a Memorandum of Understanding (MoU), thus creating the prerequisites and framework for cooperation.
Read moreIn order to support research and development on fully automated driving in railroad operations, the German Center for Rail Transport Research (DZSF) has published the multisensor dataset "Open Sensor Data for Rail 2023", which was created by FusionSystems GmbH on the basis of sensor data from DB Netz AG / "Digitale Schiene Deutschland". The data is intended to help train automated driving functions using machine learning (ML) techniques, thus improving object recognition in railroad environments. It is the first publicly available dataset specifically for rail traffic that has been collected using a variety of sensors. To enable comparability and reusability of the data, the dataset uses the standardized annotation format ASAM OpenLABEL®.
Read moreDorothée Bassermann
Altlaufstr. 40
85635 Hoehenkirchen
Germany
Email: dorothee.bassermann@asam.net
Phone: +49 8102 806163
Fax: +49 8102 806168
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