Machine learning development in safety critical projects
Jan Zawadzki explained to developers how, at CARIAD, we want to use the vehicle as an AI platform, which will allow us to deploy AI-powered functions to our customers. The key components of an AI-ready architecture are customized compute power with AI acceleration in-vehicle, the ability to collect valuable data, and a powerful backend to efficiently and safely develop AI products.
With this AI architecture, we’ll allow vehicles in the entire Volkswagen Group to make use of AI throughout the processing chain of autonomous driving. This chain begins with the multiple sensors, which record raw data about the environment around the vehicle. AI is then applied to this data and used in localization, perception and the environment model, allowing the vehicle to actually sense and understand its surroundings. It then helps the vehicle to predict the intentions of other road users and plan its next move before finally carrying out the automated driving function.
“Supported by AI, automated driving functions will greatly improve comfort. But before we introduce them, it’s crucial that we also ensure their safety. This is the central challenge in bringing highly automated driving technology to the road,” said Jan.