Under the smart cabin scenario, OEMs and suppliers will have a more diversified and open relationship, and suppliers will need to develop compatible hardware and software according to the customer’s needs. At the same time, the intelligent cockpit software also involves the operating system, middleware, UI design, and other aspects.
Host manufacturers have insufficient software development capabilities for SoC, Hypervisor virtualization, in-vehicle OS, middleware, and upper-layer application software.
Lack of end-to-end convergence solution capability for edge-vehicle side, cloud side, and cloud-side collaboration need to carry a set of mature cloud-side collaboration architecture and components.
EMQ edge components can be adapted to mainstream domain control systems to achieve the edge computing capability of the vehicle domain control side with less resource consumption. The edge component supports multiple data sources access, with edge computing power, time window, DBC interface parsing capability, and multiple data interface output capability.
In the EMQ smart cockpit scenario solution, the EMQ edge computing component is integrated with the vehicle domain control system, using raw data from CAN bus and Ethernet bus as the data source. Combined with the edge stream computing capability of DBC, it can provide dynamically scalable edge engine computing capability through a flexible rule engine to realize command counter-control, write to edge database or log file and cloud-side data forwarding.
After the cloud gets real-time data input from the edge, it uses the powerful central computing power to train large, high-order AI algorithms and inference models, and then distributes the trained AI algorithms and decision models and customized intelligent rules to the vehicle through a lightweight and secure cloud-side channel to build an intelligent cockpit scenario brain with end-cloud collaboration.