At the ASAM Regional Meeting North America 2025, held in Novi, Michigan, the standards organization unveiled a groundbreaking new approach to diagnostics and data access for software-defined vehicles (SDVs). The event brought together OEMs, suppliers, and technology providers to address the evolving challenges of vehicle diagnostics in the era of advanced driver assistance systems (ADAS), autonomous vehicles (AVs), and connected car technologies. The centerpiece of the meeting was the introduction of the ASAM SOVD (Service-Oriented Vehicle Diagnostics) API, which promises to revolutionize how diagnostics and data are managed in modern vehicles.

The ASAM SOVD API is designed to support next-generation software architectures, enabling uniform diagnostics for high-performance computers (HPCs) and facilitating continuous updates with new configurations. This means that vehicles can be analyzed and diagnosed in real-time, supporting interactive diagnostics and predictive maintenance. The API also allows for service-defined data access, which extends beyond passenger vehicles to include commercial and agricultural vehicles. This broad applicability is expected to streamline fleet management and enhance operational efficiency for a wide range of industries.

During the meeting, experts from General Motors, AVL, Deepen AI, and Sibros shared real-world use cases and insights on how standardization can benefit businesses. Dr. Philipp Rosenberger, CEO of Persival, provided a deep dive into ASAM’s OpenX simulation standards, while Aneesh Bhir, group product manager at Sibros, and Bernd Wenzel, senior technical consultant at ASAM, discussed the practical applications of the SOVD API. They highlighted the importance of consistent capability descriptions and identical offline and online formats, based on OpenAPI, which ensures seamless integration across different systems and platforms.

The ASAM SOVD API also works in conjunction with the Open Test Sequence eXchange format (OTX), a domain-specific programming language (DSL) for describing test logic. This integration allows for the execution of test cases on any system at any time, ensuring that diagnostic procedures are both efficient and reliable. The meeting featured training sessions on ASAM standard implementations, including service-oriented vehicle diagnostics and virtual development and validation, providing attendees with hands-on experience and practical knowledge.

Richard Romano, staff researcher at General Motors, explored the role of driving simulators and human-centered vehicle design, emphasizing the importance of user-centric approaches in the development of advanced vehicle systems. Brunilda Caushi, strategy business development at AWS, shared insights on agentic AI for faster and better embedded development and testing, highlighting the potential of AI-driven solutions in the automotive industry.

Joshua Orlando, project engineer at AVL, presented on data-driven testing and validation, while Mohammad Musa, CEO and founder of Deepen AI, spoke about sensor calibration and the need for industry-wide standards. Musa argued that a lack of unified calibration standards poses significant risks to vehicle health and safety, and he proposed foundational alignment phases and contextual calibration to address these issues. The meeting also featured discussions on the ASAM TestSpecification project, which aims to harmonize testing and validation processes across the industry.

Mark Singer, director of marketing at Excelfore Corporation, highlighted the risks of innovation paralysis due to different approaches from OEMs, Tier 1s, and software and cloud vendors. He shared the success of the Hero MotoCorp connected vehicle platform, an OEM-first implementation of eSync OTA integrated with ASAM SOVD remote diagnostics and repair. Initial results have shown operational efficiency, enhanced driver experience, and improved safety and security compliance.

ASAM CEO Marius Dupuis concluded the proceedings with a discussion of the organization’s active and planned projects, including SDV/diagnostics, data for AI, driver monitoring systems, simulation quality, and global cooperation. The meeting underscored the importance of collaboration and standardization in driving innovation and ensuring the safety and reliability of modern vehicles.

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