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Application Stories

Learn how companies are applying ASAM standards.

Application Stories

Many of ASAM's member companies have been using our standards to carry out client projects. The application stories below illustrate how these standards have contributed to their success and highlight what is possible when companies not only adopt ASAM standards, but also actively participate in their development.

 

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Use this opportunity to tell the readers about your company's success story.

 

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Contact: dorothee.bassermann(at)asam.net

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ASAM OSI®

The role of ASAM standards in scenario-based testing: Insights from BMW and Aptiv

YEAR
2025
STANDARDS
ASAM OpenDRIVE®, ASAM OpenSCENARIO®, ASAM OSI®
COMPANIES
ASAM OpenX standards improve interoperability and efficiency for the simulation and testing of automated driving systems.
Case study

AVxcelerate utilizes ASAM Standards to Deliver Cloud-Based Platform for Safety and Reliability of ADAS/AD systems

YEAR
2025
STANDARDS
ASAM OpenDRIVE®, ASAM OpenSCENARIO®, ASAM OSI®
COMPANIES
ANSYS
The complexity of the Operational Design Domain (ODD) along with the expectation of target system reliability (SAE L3) are the two main reasons that demand a substantially new approach towards development of ADAS/AD systems. This approach ideally should help verification engineers to a) create a safety argument and b) to aid simulation-based development and analysis. One of the key challenges…
Case study

Using ASAM OSI to Facilitate Closed-Loop System Tests for Assisted and Automated Driving

YEAR
2021
STANDARDS
ASAM OSI®
COMPANIES
Vector Informatik
The approach for simulation-based testing of assisted and automated driving (ADAS/AD) functions does not differ substantially from the one taken for other control functions: The system under test needs to be separated and embedded in a plausible simulation of the remaining system.
Case study

Virtual Validation Platform for AD/ADAS Systems using Kempten Digital City

YEAR
2021
STANDARDS
ASAM OSI®
COMPANIES
University of Applied Sciences Kempten, DENSO, PMSF
Simulation of autonomous driving needs a realistic representation of the environment. There are several options. We propose a method, which uses highly accurate global geo-information (GIS) data from the City of Kempten for testing sensors, sensor fusion and driving functions (algorithms).
Case study

The Five Platform: A modern cloud-based platform for development and assurance of Automated Driving Systems

YEAR
2021
STANDARDS
ASAM OpenDRIVE®, ASAM OpenSCENARIO®, ASAM OSI®
COMPANIES
Five-AI
Five spent its first four years developing one of Europe’s most advanced Autonomous Driving Systems (ADS) for deployment in an urban environment - London, UK. The complexity of the Operational Design Domain (ODD) along with the target system reliability (SAE L4) led Five to building substantial new infrastructure to support extensive simulation-based development and analysis. Five has spent the…
Case study

Validating Radar-Sensor Software with a Triple Punch: Early Testing, Quality Ground Truth and an Open Interface

YEAR
2021
STANDARDS
ASAM OSI®
COMPANIES
dSPACE
dSPACE software-in-the-loop (SIL) sensor simulation is used at Hella to test and validate sensor software in the early stages of the development cycle. In order to compare the computational output of the software with the expected results, high-quality ground truth information is needed from the simulation. In addition to the simulated sensor environment data, the dSPACE simulation models provide…
Case study



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