Groups & Projects
Generative AI Group
| Overview: |
The Generative AI Group brings together automotive industry leaders, tool vendors, and technology providers to shape the future of AI-assisted automotive development. Our mission is to make Gen AI tooling interoperable, standardized, and accessible across the entire automotive V-model, from requirements to homologation. Generative AI is transforming how we develop automotive systems. But today, most tools still work in isolation. AI assistants can’t seamlessly collaborate across requirements management, modeling, testing, and validation tools. We’re changing that. By establishing open standards for Gen AI tool integration, based on protocols like Model Context Protocol (MCP) and Agent-to-Agent (A2A), we’re enabling a connected ecosystem where AI agents can work together throughout the development lifecycle. |
| Chairs: | Georg Doll (Microsoft), Yansong Chen (Ropix Technologies) |
| Resources: | |
| Meetings: | Weekly on Monday at 17:00 CET / 11:00 am ET / 8 am PT (Community Calendar) |
COVESA Spotlights
Commercial fleets run on data. These fleets include a wide range of vehicle classes ranging from passenger cars, delivery vans, and heavy-duty trucks to construction equipment, and are owned and operated by a commercial entity instead of an individual....
Consumers expect the absolute best, safest, and problem-free content and experiences integrated into their digital world from their phones, smart home devices, computers, and electronic devices immediately as they become available. Why would they expect less from their vehicles? The reality today is not quite so simply in the Automotive industry and the vehicle’s data space is often messy and disconnected...
Collaboration to unify guidelines and interoperability for vehicle applications, primarily within the Android open source environment (AOSP). With mutual requirements, guidelines for APIs and reference implementations we can reduce cost and speed up time to market while enabling app developers to develop once and then easily deploy to many OEMs...
