METHOD AND APPARATUS FOR EXTRACTING RESULT INFORMATION USING MACHINE LEARNING

    公开(公告)号:US20240331360A1

    公开(公告)日:2024-10-03

    申请号:US18616389

    申请日:2024-03-26

    CPC classification number: G06V10/774 G06V10/7715 G06V10/82 G06V40/10

    Abstract: A method of operating a neural network device for extracting result information using machine learning according to an embodiment of the present disclosure includes: extracting feature data from an image frame; storing a pre-trained first training model generated by performing machine learning on the feature data and including first training data; storing a pre-trained second training model that is generated by performing machine learning on the first training data and includes second training data generated according to the four arithmetic operations based on the first training data; and generating two-dimensional vector information on the result information by performing a probability-based operation on the second training data in the image frame based on the second training model.

    APPARATUS AND METHOD FOR MANAGING FEATURE POINT MAP

    公开(公告)号:US20200302639A1

    公开(公告)日:2020-09-24

    申请号:US16822801

    申请日:2020-03-18

    Abstract: Provided are an apparatus and method for managing a feature point map. The method includes generating an initial travel path through which an environmental information collecting entity moves, determining the generated initial travel path as a travel path for detection and controlling the environmental information collecting entity along the determined travel path for detection, receiving environmental information from the environmental information collecting entity, extracting feature point information from the environmental information, generating a feature point map from the feature point information, and storing the feature point map.

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