Latest News


Jan
11
2024
Jan
11
2024

The ASAM Technical Steering Committee has decided that the two versions of ASAM OpenSCENARIO, 1.x. (now XML) and 2.x (now DSL), shall be developed as two separate standards, with no formal migration nor convergence required by ASAM.

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Aug
04
2023
Aug
04
2023

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.

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Jul
19
2023
Jul
19
2023

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

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Jul
19
2023
Jul
19
2023

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.

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Latest Press Releases


Jul
19
2023
Jul
19
2023

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.

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Jun
19
2023
Jun
19
2023

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®.

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ASAM SIM:Guide

The ASAM SIM:Guide is a reference guide to ASAM standards, members and ASAM-compliant products. We offer you several marketing opportunities in this guide. Some are free of charge...

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