NXP, AWS create cloud platform for vehicle data services
As the automotive industry shifts its focus from the horsepower of a vehicle to its computing power – a process we are seeing across the industry – data will become the driver of future vehicle innovation. Expanded access to real-time data, secure connectivity to cloud services and optimised machine learning (ML) are the necessary ingredients to accelerate the shift to intelligent vehicles that improve over their lifetime through remote updates.
To realise the promising services of future networked vehicles, the automotive industry needs a compute solution with centralised access to vehicle-wide data that can work securely and cooperatively with the cloud. The planned integration of AWS edge and cloud services into NXP’s new S32G vehicle network processor for service-oriented gateways is designed to address this challenge.
“We are excited to work with AWS to help our automotive customers accelerate their digital transformation by harnessing valuable vehicle data and providing edge-to-cloud services,” said Henri Ardevol, executive vice president and general manager of automotive processing at NXP Semiconductors. “In this way, we can help them gain new insights from vehicle data, achieve continuous progress through machine learning and over-the-air updates, and ensure sustainable improvements throughout the vehicle lifecycle”.
Real-time vehicle information enables a wide range of new use cases and services. For example, car manufacturers can monitor potential component failures before repairs are necessary and prevent costly warranty repairs and recalls, optimise the supply chain and improve the customer experience by reducing service visits.
But it is not only the manufacturers themselves who are interested in the vehicle data. Mobility and insurance companies can use the data to develop new business models and enable drivers to make cost savings depending on the condition and behaviour of the vehicle. Car manufacturers, in turn, can use the data and vehicle sensors to offer attractive services to create new comfort and safety features, such as remote monitoring of the passenger compartment and the immediate surroundings.
NXP’s S32G automotive network processor uses AWS IoT Greengrass and AWS IoT Core to process and store vehicle and cloud data, and Amazon SageMaker and Amazon SageMaker Neo to create, train and deploy optimised ML models. The deep learning inference engine in the vehicle is supported by the ASPICE qualified eIQ Auto Toolkit from NXP. The first S32G platforms have already qualified for AWS IoT Greengrass. In addition, Yocto Meta-Layer Support is available to help automotive industry customers quickly implement their innovations.
On 19 November 2020 at 17:00 CET, NXP and AWS will host a webinar to discuss networked vehicle solutions and demonstrate a management system for networked electric vehicles (EV).
More information:
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