Patent ID: 11887379
Assignee: ROBERT BOSCH GMBH
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 14:
15. A system for training a machine learning model to recognize road signs, the system comprising:
a user interface;
a storage configured to maintain (i) image data of a plurality of images, (ii) a list of predefined visual attributes found in images of road signs, and (iii) a plurality of stored sign template images; and
a processor in communication with the storage and the user interface, the processor programmed to:
receive a cropped image of a road sign detected in an environment surrounding a vehicle,
execute a visual attribute prediction model to determine whether one or more of the predefined visual attributes are present in the cropped image, wherein the visual attribute prediction model is configured to assign a probability of presence to each of the one or more predefined visual attributes,
query a knowledge graph reasoner to access a plurality of rules relating to the one or more predefined visual attributes present in the cropped image,
validate the visual attribute prediction model by removing the probability of presence of at least one of the predefined visual attributes present in the cropped image based on the rules, and
output a sign template image from the plurality of stored sign template images that matches the road sign within the cropped image based on the validated visual attribute prediction model.