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).