According to NXP, the collaboration aims to deliver a secure, edge-to-cloud compute solution for next-generation vehicles that can enable new cloud-powered services.
With data fuelling vehicle innovation it has the potential to deliver vehicle insights and drive new data-driven service revenue. As a consequence, expanded access to real-time, vehicle-wide data, secure connectivity to cloud services and streamlined machine learning (ML) will help to accelerate this shift and enable intelligent vehicles that improve over their lifetime through remote updates.
To achieve this, the automotive industry needs a compute solution with centralised access to vehicle-wide data that can work securely and collaboratively with the cloud. The integration of AWS edge and cloud services with NXP’s new S32G vehicle network processor for service-oriented gateways looks to address this.
“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 can deliver a number of new use cases and services. For example, carmakers can monitor for potential component failures before a repair is needed, prevent costly warranty repairs and recalls, optimise the supply chain and improve the customer experience by minimizing service visits.
Mobility and insurance companies will be able to leverage expanded data to create new business models and provide cost-reduction benefits to drivers, according to vehicle condition and driving behaviour. Carmakers will also be able to offer new services that leverage vehicle sensors and other data to create new user experiences and capabilities such as remote viewing inside and around the vehicle for convenience, safety and security.
The NXP S32G processor leverages 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 optimised 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 customers today.
