Data processing apparatus for a vehicle having a plurality of sensors

Abstract

A data processing apparatus for an intelligent vehicle has a plurality of virtual machines disposed therein, and a first neural network model corresponding to a sensor group in a machine learning model is disposed in one virtual machine. The machine learning model performs calculation on detection data of a corresponding sensor group in an independent virtual machine. Subsequently, all first neural network models in the plurality of virtual machines send output results of detection data of a plurality of sensor groups to a second neural network model, and the second neural network model obtains, based on the plurality of output results, a fusion output result used to indicate vehicle driving parameter information.