Robert Boschgmbh

Cory Henson

Ji Eun Kim

Wan-yi Lin

Joao P Sousa

Kevin H Huang

Daria Stepanova

Leah Rose Nicolich-Henkin

Mohamed Gad-Elrab

Anh Tuan Tran

Sreyasi Nag Chowdhury

Ruwan Wickramarachchige Don

A device and a computer implemented method for explainable clustering of a scene. The method includes determining a first relation that relates a first object class to a second object class, wherein determining the first relation includes determining, depending on the first object class and the second object class, a pair of entities in a first knowledge graph, in particular a commonsense knowledge graph, that represents information about a domain, wherein the pair of entities is related with the first relation in the first knowledge graph, determining a cluster in that the scene belongs depending on the scene and depending on other scenes, determining a second relation that relates the scene with the cluster depending on at least one feature of digital image data representing the scene, determining a rule that maps the first relation to the second relation.

Device and computer implemented method for explainable scene clustering

A method of road sign classification utilizing a knowledge graph, including detecting and selecting a representation of a sign across a plurality of frames, outputting a prompt initiating a request for a classification associated with the representation of the sign, classifying one or more images including the sign, querying the knowledge graph to obtain a plurality of road sign classes with at least one same attribute as the sign, and classifying the sign across the plurality of frames in response to a confidence level exceeding a threshold.

System and method for road sign ground truth construction with a knowledge graph and machine learning

A method for generating a user interface with a user interface device in a distributed automation system includes receiving a service message from a home automation device in the distributed automation system, identifying a state of a dialog manager of the user interface device in response to receiving the service message, and generating a natural language output message based at least in part on a device identifier parameter in the service message and a plurality of natural language templates stored in the memory in response to the dialog manager being in an idle state. The method further includes storing the service message in a priority queue in the memory based on a priority level parameter corresponding to the service message in response to the dialog manager being in an active state.

System and method for dialog interaction in distributed automation systems

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Pittsburgh, PA, United States of America

Cory Henson