Patent · US Active

Method and generator for generating disturbed input data for a neural network

US12322189B2 · kind B2 · utility

0Cited by

0References

20Claims

0Family size

Assignees

VOLKSWAGEN AKTIENGESELLSCHAFT · DE
DSPACE GMBH · DE

Inventors

Fabian Hüger · Wolfenbüttel, DE
Peter Schlicht · Wolfsburg, DE
Nico Maurice Schmidt · Berlin, DE
Feix Assion · Berlin, DE
Florens Fabian Gressner · Berlin, DE

Key dates

Filing date	Jun 12, 2020
Grant date	Jun 3, 2025
Priority date	—
Expiry date	Mar 11, 2042

Classification

Technology area (CPC G)Physics
CPC primaryG06V10/82
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

The invention relates to a method for generating disturbed input data for a neural network for analyzing sensor data, in particular digital images, of a driver assistance system, in which a first metric is defined which indicates how the magnitude of a change in sensor data is measured, a second metric is defined which indicates where a disturbance of sensor data is directed, an optimization problem is generated from a combination of the first metric and second metric, the optimization problem is solved by means of at least one solution algorithm, wherein the solution indicates a target disturbance of the input data, and disturbed input data is generated from sensor data for the neural network by means of the target disturbance.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.