US 12,249,128 B2
Method, device, and computer program for an uncertainty assessment of an image classification
Christoph Schorn, Benningen Am Neckar (DE); and Lydia Gauerhof, Sindelfingen (DE)
Assigned to ROBERT BOSCH GMBH, Stuttgart (DE)
Filed by Robert Bosch GmbH, Stuttgart (DE)
Filed on Mar. 18, 2022, as Appl. No. 17/698,766.
Claims priority of application No. 10 2021 202 813.6 (DE), filed on Mar. 23, 2021.
Prior Publication US 2022/0309771 A1, Sep. 29, 2022
Int. Cl. G06V 10/776 (2022.01); G06N 3/04 (2023.01); G06N 3/045 (2023.01); G06V 10/26 (2022.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01)
CPC G06V 10/776 (2022.01) [G06N 3/045 (2023.01); G06V 10/26 (2022.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01)] 15 Claims
OG exemplary drawing
 
1. A method for ascertaining an uncertainty of a classification, which is output by a first machine learning system, the method comprising the following steps:
processing a detected input variable using the first machine learning system and outputting the classification;
processing, using a second machine learning system, at least one intermediate result of a plurality of intermediate results, which are ascertained during the processing of the input variable by the first machine learning system; and
outputting, by the second machine learning system, an output variable, which characterizes an uncertainty of the classification of the first machine learning system, as a function of the at least one intermediate result;
controlling, based on the output classification, an actuator of a technical system, wherein the controlling of the actuator takes into consideration the output variable from the second machine learning system;
wherein the second machine learning system has been trained in such a way that it outputs an uncertainty of the classification of the first machine learning system as a function of the at least one intermediate result.