The 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. This is just the beginning of a new era of highly automated driving, fueled by innovations in technology and engineering. By collaborating with AWS, the BMW Group, along with our partner, Qualcomm Technologies, is building our new automated driving platform on AWS’s scalable, secure, and reliable infrastructure. We’re tapping into AWS’s ability to help empower the next generation of BMW’s automated driving and parking functions.Dr Nicolai Martin, senior vice president of Driving Experience at BMW Group <>/p>
ADAS supports today’s drivers with early warning systems and capabilities that make driving safer and more comfortable. These systems use advanced software and onboard sensors to provide driver warnings, automated braking, and steering functions designed to help improve a vehicle’s performance on the road. 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.
The BMW Group has also joined Qualcomm Technologies, Inc., to co-develop next-generation automated driving systems based on the open and modular Snapdragon Ride Platform. The systems feature an integrated Ride Vision software stack to enable 360-degree perception for the vehicle. Together with AWS and Qualcomm Technologies, the BMW Group’s engineers have access to leading hardware, vision software, and cloud capabilities in an end-to-end automated driving development platform. 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.
As the automotive industry evolves toward a new high-performance, low-power, and highly scalable software-defined vehicle architecture, we are proud to continue our long-standing, strategic cooperation with the BMW Group to codevelop safer and more secure AI-powered driver assistance technologies at scale. The Qualcomm Cloud AI 100 solution and Snapdragon Ride Platforms help deliver automotive innovation to the BMW Group and leading brands across the globe. This strategic relationship with AWS and BMW brings together leading-edge technologies from our respective industries to deliver a modern cloud-native software development environment.Nakul Duggal, senior vice president and general manager of Automotive and Cloud Computing at Qualcomm Technologies
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. As automakers deploy higher-level automated driving functions, such as adaptive cruise control, parking assist, and piloted driving, the vehicles create more data for engineering teams to analyze and utilize within future 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.