Continental and Amazon partner for automotive software platform

This collaboration will allow drivers to integrate the functions they want going forward during the entire service life of their vehicle by downloading quick and convenient software updates.

Autocar Pro News Desk By Autocar Pro News Desk calendar 16 Apr 2021 Views icon8445 Views Share - Share to Facebook Share to Twitter Share to LinkedIn Share to Whatsapp

German Tier 1 Continental has announced a new development cooperation with Amazon Web Services (AWS) with the goal of a long term collaboration with AWS serving as the preferred cloud provider is to develop Continental Automotive Edge (CAEdge) – a modular hardware and software platform that connects the vehicle to the cloud and features a virtual workbench offering numerous options to develop, supply and maintain software-intensive system functions.

This collaboration will allow drivers to integrate the functions they want going forward during the entire service life of their vehicle by downloading quick and convenient software updates.

With the platform, Continental 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.

Dirk Abendroth, CTO, Continental Automotive said: “Software is at the forefront of innovation in cars. With our CAEdge platform, we are establishing a new approach to developing vehicle architectures and software in the automotive industry. We have found a strong collaborator in AWS to help us accomplish this task and will continue to expand our leading role in the field of automotive software.”

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.

The German company says 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.

Bill Vass, president – Engineering, Amazon Web Services said: “Continental is providing the mobility experts and its in-depth understanding of the automotive sector, while AWS – as the leading provider of cloud computing – is bringing with it access to the latest machine learning and other innovative cloud services. Backed by the expertise of Continental and its customers, we are creating a development environment that will speed up the development of highly automated and autonomous driving systems.”

With the Continental platform, going forward all developers and participating companies will work in a standardised and automated development environment with the same tools, testing procedures and safeguards. Customers will additionally benefit from AWS data centres and a network that was developed to protect their information, identities, applications and devices.

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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