Patent · US Active

Generating synthetic training data for perception machine learning models using simulated environments

US12026229B2 · kind B2 · utility

0Cited by

2References

20Claims

0Family size

Assignee

VOLKSWAGEN AKTIENGESELLSCHAFT · DE

Inventors

Elnaz Vahedforough · San Jose, US
Adrienne Othon · Kensington, US
Jens Langenberg · Redwood City, US
Pratik Prabhanjan Brahma · Rajpura, IN

Key dates

Filing date	Oct 29, 2021
Grant date	Jul 2, 2024
Priority date	—
Expiry date	Oct 28, 2042

Classification

Technology area (CPC G)Physics
CPC primaryG06T19/003
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

A method is provided. The method includes generating a set of candidate training data based on a simulated environment and a first set of environmental parameters. The method also includes training a machine learning model based on the set of candidate training data. The method further includes obtaining a set of segmentations based on the machine learning model and a set of test data. The method further includes determining whether a mean intersection-over-union (MIOU) of the set of segmentations has increased by more than a threshold change. The method further includes generating a next set of candidate training data based on the simulated environment and a second set of environmental parameters for the simulated environment, in response to determining that the MIOU has increased by more than the threshold MIOU amount.

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