Volkswagen Ag

Dr. Ing. H.c. F. Porsche Aktiengesellschaft

Audi Ag

Adrienne Othon

Pratik Prabhanjan Brahma

Elnaz Vahedforough

Jens Langenberg

Elnat Vahedforough

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.

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

A system and methodologies for controlling the content of a heads up display to provide increased visibility of naturally occurring contours and surfaces in the environment is provided. Depth information is provided along with predefined lighting conditions in order to output an image by the HUD with enhanced feature contours.

Heads up display (HUD) content control system and methodologies

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Kensington, CA, United States of America

Adrienne Othon