Patent ID: 11899748
Assignee: AUDI AG
Field: Computer technology (Electrical engineering)
Classification: CPC G  H | IPC G  H

Claim 8:
9. A non-transitory computer readable medium encoded with instructions that when executed by at least one processor causes the processor to carry out the following operations:
training a deep neural network (“DNN”) model with initial training data corresponding to a set of driving scenarios;
determining scenes to generate for augmenting the initial training data based on the DNN model and the initial training data, wherein said scenes each comprise an image or a series of images and determining said scenes comprises:
grouping the initial training data to statistical bins of driving scenarios each bin representing a respective probability of occurrence for those driving scenarios;
determining underrepresented statistical bins, wherein underrepresented statistical bins comprise driving scenarios that are statistically rare to occur; and
associating scenes to the underrepresented statistical bins;
generating the determined scenes;
augmenting the initial training data with the generated scenes;
retraining the DNN model with the augmented training data;
storing the retrained DNN model in a data storage; and
deploying the stored DNN to one or more vehicles.