US 12,466,413 B2
Detecting and determining relevant variables of an object by means of ultrasonic sensors
Marvin Schröder, Braunschweig (DE); Tatjana Kruscha, Braunschweig (DE); Fabian Galetzka, Wolfsburg (DE); Benjamin Groß, Braunschweig (DE); Jan Kempa, Wolfsburg (DE); Christoph König, Hannover (DE); Jakob Spiegelberg, Braunschweig (DE); Jan Sonnenberg, Didderse (DE); Christian Bruns, Braunschweig (DE); Bernd Lehmann, Wolfsburg (DE); Laura Fieback, Braunschweig (DE); and Marius Spika, Braunschweig (DE)
Assigned to VOLKSWAGEN AKTIENGESELLSCHAFT, Wolfsburg (DE)
Filed by Volkswagen Aktiengesellschaft, Wolfsburg (DE)
Filed on May 16, 2023, as Appl. No. 18/318,329.
Claims priority of application No. 10 2022 205 084.3 (DE), filed on May 20, 2022.
Prior Publication US 2023/0373498 A1, Nov. 23, 2023
Int. Cl. B60W 50/00 (2006.01)
CPC B60W 50/0097 (2013.01) [B60W 2420/408 (2024.01); B60W 2420/54 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method for environment sensing in a vehicle, comprising:
recording environment data using at least one vehicle sensor;
calculating a prediction using a trained machine learning model based on the recorded environment data, wherein the prediction includes a naive measure of confidence, which can be based on one or more of an activation function for an outputting neurons in an output layer of a neural network, and an error predictor;
determining a deviation value 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;
determining at least one conformity score based on the measure of uncertainty and the deviation value;
determining a prediction set based on the at least one determined conformity score and previously determined calibration parameters; and
generating a control signal for a vehicle function depending on the determined prediction set.