NXP, AWS team on connected vehicle opportunities

November 17, 2020 //By Ally Winning
NXP Semiconductors has formed a strategic relationship with Amazon Web Services (AWS) focused on extending the opportunities of connected vehicles.
NXP Semiconductors has formed a strategic relationship with Amazon Web Services (AWS) focused on extending the opportunities of connected vehicles.

The collaboration is intended to work on solutions that will deliver a secure, edge-to-cloud compute solution for vehicles that will allow new cloud-powered services to the automotive industry.

To turn the promising services of future connected vehicles into reality, the industry needs a compute solution with centralized access to vehicle-wide data that works securely and collaboratively with the cloud. Integration of AWS edge, cloud services and NXP’s new S32G vehicle network processor for service-oriented gateways provides a platform that will address that challenge.

“NXP is pleased to collaborate with AWS to help our automotive customers accelerate their digital transformation initiatives by unlocking the value of vehicle data and leveraging edge-to-cloud services,” said Henri Ardevol, executive vice president and general manager of Automotive Processing at NXP Semiconductors, “We see the opportunity to help them make impactful improvements throughout vehicle life cycles with new vehicle data insights and the ability to make continuous improvements using machine learning and over-the-air updates.”

Real-time vehicle insights are the key to driving new applications and services. Mobility and insurance companies would be able to use expanded data to create new business models and provide cost-reduction benefits to drivers according to vehicle condition and driving behaviour. Carmakers would be able to provide services that use vehicle sensors and other data for new user experiences and capabilities such as remote viewing inside and around the vehicle.

The NXP S32G processor uses AWS IoT Greengrass and AWS IoT Core for vehicle and cloud data processing and storage, as well as Amazon SageMaker and Amazon SageMaker Neo to build, train and deploy optimized ML models. Deep learning inferencing in the vehicle is supported by NXP’s ASPICE-qualified eIQ Auto toolkit. Initial S32G platforms have been qualified for AWS IoT Greengrass, and Yocto meta-layer support is available to enable automotive customer innovations today.

NXP and AWS will host a webinar that discusses connected vehicle solutions and demonstrate a Connected Electric Vehicle (EV)


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