DATA PROCESSING METHOD AND DEVICE FOR END-TO-END AUTOMATIC DRIVING SYSTEM

摘要

Provided by the present invention are a data processing method and device for an end-to-end automatic driving system, wherein the method comprises: converting a plurality of images acquired in real time into a pre-determined resolution, and then storing the images in a Hierarchical Data Format version 5 (HDF5) file; storing in the HDF5 file the Coordinated Universal Time of a predetermined navigation system, a Gaussian projection corresponding to a speed value extracted from the predetermined navigation system and a curvature value corresponding to Global Positioning System (GPS) data extracted from the predetermined navigation system. By means of storing in an HDF5 file images having a reduced resolution, the Coordinated Universal Time of a navigation system, a Gaussian projection corresponding to a speed value and a curvature value corresponding to GPS data, the present invention may store a large amount of data by using a smaller storage space so as to establish a better automatic driving data model, and thereby increase the learning efficiency of deep learning in the field of automatic driving.