Method and device for optimized operation of a machine learning model with a data stack for a driving assistance function of a vehicle

US12229671B2 · kind B2 · utility

Assignee

• VOLKSWAGEN AKTIENGESELLSCHAFT · DE

Inventors

• Fabian Hüger · Wolfenbüttel, DE
• Peter Schlicht · Wolfsburg, DE

Key dates

• Filing date: Nov 25, 2019
• Grant date: Feb 18, 2025
• Expiry date: May 26, 2042

Classification

• Technology area (CPC G): Physics
• CPC primary: G06N20/10
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

The invention relates to a method for operating a machine learning model, comprising the following steps during a training phase: receiving selected multidimensional training data; selecting subsets from the received training data; generating a training data set, wherein the training data set includes data set elements which are generated on the basis of the selected subsets; training the machine learning model using the training data set; and/or comprising the following steps during an inference phase: receiving sensor data of at least one sensor; selecting subsets from the received sensor data; generating a data stack, wherein the data stack includes the respective selected subsets as stack elements; applying the, or a, machine learning model trained according to the steps of the training phase to every stack element of the data stack, wherein the application occurs simultaneously, and deducing an inference result; and outputting the inference result.