BMW Group has chosen Amazon Web Services (AWS) as the preferred cloud provider for its automated driving platform.
The BMW Group will develop its next-generation advanced driver assistance system (ADAS) using AWS to help innovate new features for its next generation of vehicles, the “Neue Klasse,” set to launch in 2025. The new cloud-based system will leverage BMW's pre-existing Cloud Data Hub on AWS, and will use AWS compute, generative artificial intelligence (generative AI), Internet of Things (IoT), machine learning and storage capabilities to help accelerate the delivery of highly automated BMW vehicles.
“In the next decade, consumer habits and expectations will drive more changes in the automotive industry than we’ve seen over the past 30 years,” said Dr. Nicolai Martin, senior vice president of Driving Experience at BMW Group.
By developing the next generation ADAS platform on AWS, the BMW Group’s engineers can respond more quickly to customer demands and deliver new features to help improve the driving experience. This efficiency, supported by the cloud, will help BMW continue to innovate features for its Neue Klasse of vehicles and keep drivers focused on the experience on the road.
Placing the BMW Group’s automated driving platform in the cloud helps break down development silos within vehicle software teams at the BMW Group and helps foster greater global collaboration with suppliers to accelerate automated driving innovation.
The BMW Group will also use AWS to help scale its capacity to handle vast increases in data creation and usage within automated driving feature development. This cloud-based infrastructure will help provide the foundation for the BMW Group to develop and deliver new functions for its vehicles, such as lane departure assist, automated lane change, or hands-free driving functions, even faster.
AWS services will help power this new scalable, automated driving platform based on a common reference architecture, accelerating the development life cycle and broadening it across BMW models. For example, the platform provides the framework needed to process, catalog, and store millions of miles of real-time driving data in Amazon Simple Storage Service (Amazon S3). Engineers and data scientists can then search, identify, and visualize relevant driving scenes to develop and train models using Amazon SageMaker, AWS’s service for building, training, and deploying machine learning models in the cloud and on the edge. Engineers can also develop large-scale simulations on AWS compute instances for verification. With this approach, the BMW Group can test and validate new software versions more efficiently, helping to ensure the system’s safety and shortening time to market.
“Automated driving is about more than just convenience; it’s also aimed at providing driver assistance technology that helps prevents injuries and saves lives,” said Wendy Bauer, general manager of Automotive and Manufacturing at AWS. “Implementing these systems on the BMW Group’s international scale requires an approach that can process and analyze vast amounts of data, as well as learn and innovate, so automakers can develop safer and more reliable automated and ADAS systems.”