Volkswagen Ag

Laura Fieback

Bernd Lehmann

Marius Spika

Christoph König

Tatjana Kruscha

Jan Sonnenberg

Christian Bruns

Jan Kempa

Fabian Galetzka

Benjamin Groß

Jakob Spiegelberg

Marvin Schröder

The present disclosure relates to a method, to a computer program comprising instructions, and to a device for environment sensing in a vehicle. For the environment sensing, environment data are recorded by means of at least one vehicle sensor. A prediction is calculated by means of a trained machine learning model based on the recorded environment data, wherein the prediction includes a measure of uncertainty for the prediction. Equally, a deviation value is determined for the recorded environment data that provides a measure of how significantly the recorded environment data deviate from training data for the machine learning model. At least one conformity score is determined based on the measure of uncertainty and the deviation value and then a prediction set is determined based on the at least one determined conformity score. Then, a control signal is generated depending on the determined prediction set.

Detecting and determining relevant variables of an object by means of ultrasonic sensors

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Braunschweig, Germany

Laura Fieback