NXP and AWS collaborate for connected vehicles

Data will fuel future vehicle innovations as the automotive industry shifts focus from horsepower to compute power. This transformation has the potential to deliver valuable vehicle insights and drive new data-driven service revenue. Expanded access to real-time, vehicle-wide data, secure connectivity to cloud services and streamlined machine learning (ML) can accelerate the shift and enable intelligent vehicles that improve over their lifetime through remote updates.

To realise the promising services of future connected vehicles, the automotive industry requires a new type of 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 addresses the 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 can drive a myriad 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 minimising service visits.

Mobility and insurance companies can leverage expanded data to create new business models and provide cost-reduction benefits to drivers according to vehicle condition and driving behaviour. Carmakers can offer attractive 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 customer innovations today.