Continental and AWS Partner on Platform to Enable Software-Defined Vehicles

By Chantal Polsonetti

Category:
Acquisition or Partnership

Continental and Amazon Web Services (AWS) will be working together within the scope of a new development cooperation. The goal of the long-term collaboration with AWS serving as the preferred cloud provider is to develop Continental Automotive Edge (CAEdge) – a modular hardware and software platform Software-Defined Vehiclesthat connects the vehicle to the cloud and features a virtual workbench offering numerous options to develop, supply and maintain software-intensive system functions. This will allow drivers to integrate the functions they want during the entire service life of their vehicle by downloading quick and convenient software updates.

With the platform, Continental is strengthening its role in developing state-of-the-art vehicle architectures and software. It will provide future vehicle manufacturers and partners with a development environment for software-intensive vehicle architecture that they can use to implement software, sensor, and big data solutions in a fraction of the development time needed before. As a result, the vehicle software can be developed and tested more efficiently and securely and rolled out directly to vehicles. To bring the Continental CAEdge platform to market, more than 1,000 Continental developers will exploit the full potential offered by the latest technologies, backed by the support of AWS. The CAEdge platform is already being tested in an automotive manufacturer’s series development and will be available to other customers beginning at the end of 2021.

Within the scope of the first project, camera and radar data of a vehicle fleet will be imported into the CAEdge platform and subsequently used for virtual simulations of highly automated driving.

When it comes to processing these vast amounts of data in particular, the CAEdge platform offers a high-performance development environment that supports all steps in the development of highly automated and autonomous driving systems: from sensor data collection and processing, through data management, model training and virtual simulations to vehicle software updates. This means that individual development steps that used to take several weeks due to the work involved in transferring data and training algorithms can now be completed in just a few hours. This is made possible via the scalable computing capacity offered by AWS, as well as machine learning.

With the Continental platform, all developers and participating companies will work in a standardized and automated development environment with the same tools, testing procedures and safeguards. Customers will additionally benefit from AWS data centers and a network that was developed to protect their information, identities, applications, and devices. AWS provides a basis to meet today’s most pressing security and compliance requirements, such as data localization, protection and confidentiality. In practice, this means that when an automotive manufacturer develops a new product solution, only they will have access to the data and can grant access rights to other companies, for example to Continental or to another development partner.

In a first step, Continental and AWS will train more than 1,000 of Continental’s 20,000 software and IT experts in AWS cloud technologies with a focus on machine learning, so that they can continue to improve CAEdge and work together with automotive manufacturers on new mobility solutions.

 

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