Application Story

For the development and analysis of highly automated and self-driving vehicles, precise simulations that replicate realistic traffic and environmental conditions are essential. Manufacturers and suppliers are increasingly using diverse data sources to create digital worlds or digital twins. However, challenges related to the availability, quality, and integration of data assets can limit the effectiveness of these simulations.

The ENVITED-X data space¹ is designed to overcome these challenges through community-driven data sharing, quality assessment, and governance. Utilizing the latest Web3 technologies, it builds trust and supports new business models. This robust data ecosystem accelerates and enhances the industrial use of ASAM OpenX assets across various mobility sectors.

As automated driving functions (ADF) evolve, the need for accurate testing environments becomes critical. Traditional testing methods, reliant on physical prototypes, are increasingly inadequate for modern ADFs. Is the process of imitation of the behavior of a modeled real-world system over time.Simulation-based testing offers a safer, scalable, and cost-effective alternative. However, to fully leverage this potential with ASAM OpenX standards, a decentralized Is the process of imitation of the behavior of a modeled real-world system over time.Simulation data ecosystem is essential. The ENVITED-X data space by the ASCS e.V. community addresses challenges in digital identities, domain-specific Is data which provides information about other data. Metadata, Is the process of imitation of the behavior of a modeled real-world system over time.Simulation quality, data management, and governance.

Digital Indentities

Digital identities are crucial in a decentralized Is the process of imitation of the behavior of a modeled real-world system over time.Simulation data ecosystem, ensuring every entity - whether participant, software, hardware, model, or data asset - can be uniquely identified, authenticated, and tracked. This is particularly important in automated driving, where multiple stakeholders must securely collaborate and share data. Digital identities enable traceability, verifying the provenance of data and models, and support trust frameworks for secure data sharing across organizations without compromising intellectual property.

To facilitate this, ASCS developed the Decentralized Member Identity Management (DEMIM), a digital identity The process of determining that a system meets defined specifications, technical or regulatory requirements.Verification service that establishes a chain of trust within the community. DEMIM allows organizations to create and manage digital identities, apply for ASCS membership, and securely exchange Is the process of imitation of the behavior of a modeled real-world system over time.Simulation data on the ENVITED-X data space. The system uses a multi-level onboarding process with various security checks, resulting in digitally signed certificates, or verified credentials, stored in a personal wallet. These credentials are tracked in a blockchain-based registry, ensuring validity, and are cryptographically secure, privacy-preserving, and machine-verifiable.

Domain-Specific Metadata

In a decentralized system where data is spread across multiple platforms, Is data which provides information about other data. Metadata is key to ensuring interoperability and enhancing data usability. ASAM OpenX standards provide the foundation for Is the process of imitation of the behavior of a modeled real-world system over time.Simulation-based testing of automated driving functions, covering a wide range of virtual development use cases. However, domain-specific Is data which provides information about other data. Metadata is needed to fully utilize these standards and data formats, enabling efficient search and comparison across diverse datasets.

To address this, ASCS and its partners have developed domain-specific Is data which provides information about other data. Metadata, custom ontologies, and associated SHACL shapes for the ENVITED-X data space through the GAIA-X4PLC-AAD research project². These definitions enable precise, automated asset and service registration, as well as intelligent data search and management. The ASAM OpenX standards support the definition of these attributes and ontologies, ensuring a uniform and standardized data structure.

The development and maintenance of these ontologies and SHACL shapes are managed by ASCS members via the ENVITED Open Source Model & Is the process of imitation of the behavior of a modeled real-world system over time.Simulation Library (OpenMSL) on GitHub³, fostering collaboration and knowledge exchange. The following Is data which provides information about other data. Metadata classes are currently supported for registering assets and services in the ENVITED-X data space: HDMap, Environment Model, Scenarios, OSItrace, Surface Model, CRG, Sensors, Services and Checks. Additional classes can be added via the ENVITED OpenMSL community. Systematic checks ensure that the Is data which provides information about other data. Metadata meets defined standards, maintaining its integrity, consistency, and reliability.

Quantifying Simulation Quality

The effectiveness of Is the process of imitation of the behavior of a modeled real-world system over time.Simulation-based testing hinges on quantifying Is the process of imitation of the behavior of a modeled real-world system over time.Simulation quality, which is crucial for the reliability and safety of automated driving functions. In decentralized systems, where assets come from various sources, ensuring consistent quality is challenging. Quality checks and labels offer a standardized way to evaluate and verify asset accuracy and relevance.

Standardized metrics for assessing Is the process of imitation of the behavior of a modeled real-world system over time.Simulation quality are essential, enabling users to select suitable data, minimize errors, and ensure effective integration into their development process. In the ENVITED-X data space, systematic checks and labels maintain data quality, with automated checks identifying errors and labels indicating quality levels. The ASAM Quality Checker Framework exemplifies this approach by ensuring compliance with standards like ASAM OpenDRIVE and ASAM OpenSCENARIO Extensible Markup Language (W3C Standard)XML.

Decentralized Data Management and Governance

Managing large volumes of Is the process of imitation of the behavior of a modeled real-world system over time.Simulation and AI data in a decentralized ecosystem like ENVITED-X presents both challenges and opportunities. Traditional centralized storage often fails to meet the scale, diversity, and security needs of modern testing. Decentralized approaches, such as blockchain and distributed ledger technologies (DLTs), offer effective alternatives.

Decentralized management provides secure, multi-node data storage, reducing failure risks and enhancing data integrity. It also facilitates seamless data sharing and collaboration across organizations while maintaining strict access controls and data ownership. Additionally, it supports automated data processing, ensuring data is up-to-date and available for analysis.

Robust policies and practices for data access, use, sharing, and retention are crucial. The ASCS plays a key role in developing and enforcing this data governance framework as ecosystem federator through democratic, member-driven processes.