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Session

Keynote

Tuesday, September 30

09:00 AM - 09:30 AM

Live in Berlin

Less Details

Digital systems and software gain high importance in the automotive industry; we are facing a digital revolution. Ranging from assistance systems to full autonomous driving are key elements that will inevitably impact the success of car manufacturers around the globe. AI-based systems introduce a new dimension of services and capabilities to provide a new level of benefits to customers. The digital world demands for functions on demand, fast update cycles and high quality software tests, especially, for safety critical systems. Highly automated CI/CD pipelines operating in the backend are required that create together with the embedded world a hybrid system.

Our approach is based on MLOps to aim for automation and fast update cycles. AI models are trained in the cloud to leverage easy access to data lakes and vast system resources for training. For traceability reasons, all configured parameters are recorded. Finally, we use a tool chain to optimize, convert and compile the models that shall be inferenced in the vehicle. We offer different converters and compilers to optimize the models for different hardware / software stacks in the vehicle. This might be an ECU for body functions, an ADAS blade or an infotainment ECU. The models can be optimized for CPU-based execution as well as for accelerators such as GPUs or NPUs. The counterpart in the vehicle is an inference engine that loads, executes and monitors AI models on the dedicated ECUs as well as receives and forwards signals from and to other ECUs.

In this session, you will learn more about

  • Automated cloud-based AI training pipelines
  • Optimization and conversion technologies for enabling (embedded) in-vehicle inference
  • In-Vehicle model inference and training 
PE
Presentation

Speaker

Daniel Graff

Senior Technical Product Owner & Architect, Cariad SE

Daniel Graff holds a PhD from the Technical University of Berlin in Computer Science in the field of autonomous robot systems.
Starting in 2008, he has around 30 publications and presentations in the scope of distributed operating systems and programming abstractions allowing virtualized robotic environments.
As an expert in that area and fascinated by cyber-physical systems, he joined Carmeq in 2019 (later Cariad) to work on a hybrid cloud-car architecture enabling AI applications that will become a central element of Volkswagen's new operating system paving the way for autonomous driving.

Company

Cariad SE

CARIAD is the automotive software company within the Volkswagen Group that bundles and further expands the Group's software competencies. Established in 2020 under the name Car.Software Organization, CARIAD now has more than 6,500 experts worldwide working on a scalable technology stack for all Volkswagen Group brands, comprising a software platform, a unified electronic architecture and a reliable connection to the automotive cloud. The company is also developing digital functions for the vehicle, including driver assistance systems, a standardized infotainment platform, software functions for linking powertrains, chassis and charging technology, as well as the new digital ecosystem and digital services in and around the vehicle. CARIADs software products can already be found in the Volkswagen ID. family – including for example the beloved ID. Buzz or upcoming models like the ID. 7. The software platform E3 1.2, which launches in 2024, will empower the next generation of Audi and Porsche cars. CARIAD has software competence centers in Wolfsburg, Ingolstadt, the Stuttgart region, Berlin and Munich, and has subsidiaries in China and the USA. #WeAreCARIAD.

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