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BMW partners with AWS and Qualcomm to foster driving experiences
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Snapdragon Ride to be used to integrate AI-augmented video function
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The collaboration leverages AWS’s cloud-based compute and storage along with IoT sensing tools, generative AI and machine learning
BMW has joined Amazon Web Services for a cloud partnership to propel IoT and AI capabilities into upcoming vehicle models set for a 2025 launch, augmented onboard ASAS software and sensors for driver warnings. Concurrently, BMW collaborated with Qualcomm Technologies to develop automated driving systems built on Qualcomm's Snapdragon Ride computer vision platform.
BMW's collaboration with AWS and Qualcomm aims to streamline production and enhance vehicle functions. BMW stated that centralized cloud computing enables scalability to handle increasing data volumes generated by advanced automated functions like adaptive cruise control and automated lane changing. BMW's partnership with AWS and Qualcomm is geared towards optimizing production processes and elevating the capabilities of their vehicles.
According to BMW, the utilization of centralized cloud computing allows for greater scalability, effectively managing the surging volumes of data generated by sophisticated automated features such as adaptive cruise control and automated lane changing. This enhances the efficiency of manufacturing operations and empowers vehicles to deliver more robust and responsive automated driving experiences. The integration of cloud computing addresses the challenges posed by increasing data demands, laying the foundation for future innovations in connected and autonomous vehicles.
This collaboration leverages an existing ‘cloud data hub’ on AWS infrastructure, tapping into cloud-based computing, IoT sensing, storage, and AI tools, which include generative AI and machine learning. BMW reported that these technologies will enhance BMW's Neue Klasse line, enabling lifecycle management of the new driver assistance (ADAS) platform, automated braking, and steering functions. These Neue Klasse vehicles from 2025 will allow BMW engineers to respond swiftly to customer demands and introduce new features to enhance the automated driving experience. The Snapdragon Ride platform will integrate 360-degree AI-augmented video functionality for automated driving features.
Nicolai Martin, Senior Vice President for driving experience at BMW, mentioned,
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.
[Source: RCRWirelessNews]
BMW's new driving platform will serve as a reference architecture for future BMW models, enabling the processing, cataloging, and storage of vast amounts of real-time driving data in AWS's Amazon S3 cloud storage engines. This data will support engineering teams in developing and training models using AWS's machine learning service, ‘SageMaker.’
General Manager of automotive and manufacturing, Wendy Bauer at AWS, stated,
Automated driving is about more than just convenience; it’s also aimed at providing driver assistance technology that helps prevent injuries and saves lives.
[Source: RCRWirelessNews]
Wendy Bauer explained that implementing these systems on the BMW Group's international scale required an approach that could process and analyze vast amounts of data, as well as learn and innovate, so automakers could develop safer and more reliable automated ADAS systems.
As the automotive industry undergoes a transformation towards a novel software-defined vehicle architecture that emphasizes high performance, energy efficiency, and scalability, Nakul Duggal, Senior Vice President for automotive and cloud computing at Qualcomm, said that its ongoing collaboration with BMW is dedicated to the development of advanced AI-driven driver assistance technologies, focusing on safety and security on a larger scale. He added that this partnership between AWS and BMW combines cutting-edge technology from their respective industries, aiming to provide a contemporary cloud-native software development ecosystem.